S_ID	S_RecaptchaScore	Q001AS_AgeRange	Q002AT_Gender	Q003AS_Education	Q004AS_Country	Q005AS_OpenDataExp	Q006AS_SemanticMetadataExp	Q007AS_OrgType	Q008ATC007_OrgName	Q009ATC007_OrgWebsite	Q010ASC007_OrgPublishesStandards	Q011ASC007_OrgUsesStandards	Q012ATC011_OrgStandardsDesc	Q013ATC007_OrgHelpStandards	Q014AS_OD-WorkFreq	Q015AS_OD-WorkFraction	Q016AS_OD-LackTechSupport	Q017AT_OD-Resources	Q018AS_OD-Familiarity5StarLOD	Q019AS_OD-FamiliarityFAIR	Q020AS_OD-FamiliarityODCharter	Q021AS_OD-FamiliaritySebastopolOpenGov	Q022AS_OD-FamiliarityMetadataStandards	Q023AS_OD-Accessibility	Q024AS_OD-AI-Ready	Q025AS_OD-TechOpenness	Q026AS_OD-LegalOpenness	Q027AS_OD-CommercialOpenness	Q028AS_OD-NonOpenFAIR	Q029AS_OD-DataSovereignty	Q030AS_OD-Transparency	Q031AS_OD-EconomicGrowth	Q032AS_OD-PublicAwareness	Q033AS_OD-DataDemocratization	Q034AS_OD-ProviderControlAI-IoT	Q035AS_OD-PreventMisuseAI	Q036AS_OD-GenAI-UntrustworthyData	Q037AS_OD-Trust	Q038AS_OD-NonOpenTrust	Q039AS_OD-FAIR-MetadataImprovesTrust	Q040AS_RespondentPrimaryRole	Q041US_TimeSpentUsingOD	Q042UM_DataQualityAspects	Q043US_AvgDataQuality	Q044US_MetadataQualityDataQuality	Q045US_ValidEmailsUrlsDataQuality	Q046US_OpenDataPrinciplesDataQuality	Q047US_DataMetadataQualityProblems	Q048US_LegalProblemsLicenses	Q049UT_MostUsedSource	Q050UT_MostUsedPurpose	Q051UT_MostUsedProgLang	Q052UT_MostUsedStandards	Q053US_MostUsedUseData	Q054US_MostUsedReuseData	Q055US_MostUsedEasyAccess	Q056PS_TimeSpentProvidingOD	Q057PS_SelectFormatsUsedPublish	Q058PTC057_OtherFormatsUsedPublish	Q059PS_PrivacySecurityConcerns	Q060PS_StrategicBusinessConcerns	Q061PS_LegalConstraints	Q062PS_TechnicalBarriers	Q063PS_InteropMetadataChallenges	Q064PS_MetadataToolChallenges	Q065PS_MetadataInteropReuse	Q066PS_FP-PersistentIdentImportant	Q067PS_FP-PersistentIdentEasy	Q068PS_FP-RichMetadataImportant	Q069PS_FP-RichMetadataEasy	Q070PS_FP-MetaDataIdentImportant	Q071PS_FP-MetaDataIdentEasy	Q072PS_FP-MetaDataIndexImportant	Q073PS_FP-MetaDataIndexEasy	Q074PS_FP-MetaDataProtocolImportant	Q075PS_FP-MetaDataProtocolEasy	Q076PS_FP-ProtocolOpenImportant	Q077PS_FP-ProtocolOpenEasy	Q078PS_FP-ProtocolAuthImportant	Q079PS_FP-ProtocolAuthEasy	Q080PS_FP-MetadataWithoutDataImportant	Q081PS_FP-MetadataWithoutDataEasy	Q082PS_FP-SharedKnowledgeRepImportant	Q083PS_FP-SharedKnowledgeRepEasy	Q084PS_FP-VocabulariesImportant	Q085PS_FP-VocabulariesEasy	Q086PS_FP-QualifiedReferencesImportant	Q087PS_FP-QualifiedReferencesEasy	Q088PS_FP-RichlyDescribedImportant	Q089PS_FP-RichlyDescribedEasy	Q090PS_FP-ClearAccessibleLicenseImportant	Q091PS_FP-ClearAccessibleLicenseEasy	Q092PS_FP-DetailedProvImportant	Q093PS_FP-DetailedProvEasy	Q094PS_FP-DomainStandardsImportant	Q095PS_FP-DomainStandardsEasy	Q096PT_MostRecentProjectName	Q097PT_MostRecentURLorDesc	Q098PT_MostRecentStartDate	Q099PT_MostRecentEndDate	Q100PT_MostRecentGoal	Q101PT_MostRecentEvaluationSuccess	Q102PT_MostRecentTools	Q103PT_Advice	Q104AT_PolicyToolGaps	Q105AT_BiggestThreatDataQuality	Q106AT_AdditionalComments	Q107AS_ConfirmSubmitIntent	Q108ASC107_ConfirmWithdrawalIntent
"ResponseID"	"RecaptchaScore"	"Please select the option that includes your age"	"Please indicate your gender"	"Please select the option that best describes the highest level of education that you have completed"	"List of Countries"	"Rate your expertise with Open Data:"	"Please indicate your level of expertise with semantic metadata standards (e.g. DDI, DCAT, Schema.org, Dublin Core)"	"Please choose the option that best describes your organization"	"Organization name:"	"Organization website:"	"Does your organization publish metadata that complies with FAIR or other open standards?"	"Does your organization use any metadata standards?"	"Please describe the metadata standards used by your organization."	"What tools, resources, or support would help your organization adopt metadata standards like DDI?"	"How frequently do you work with open data?"	"What fraction of the data with which you work is open data?"	"Have you ever encountered a lack of technical support while working with open data sources, tools, or platforms?"	"Please list the websites, email lists, groups, and professional societies that you access in your work with open data"	"Are you familiar with the 5 star scale for linked open data?"	"Are you familiar with the FAIR data principles?"	"Are you familiar with the Open Data Charter?"	"Are you familiar with the Sebastopol Open Government Data Principles?"	"Are you familiar with DDI or other metadata standards?"	"Please rate your agreement with the following statements\n\n\n\nOpen data should be freely accessible, in a machine-readable format, freely usable without licensing restrictions, and free of charge"	"Open data should be \"AI-Ready\""	"Technical openness (standards and interfaces) is an important aspect of open data"	"Legal openness (copyright and licensing) is an important aspect of open data"	"Commercial openness (commercial use of data) is an important aspect of open data"	"There is a place for non-open data that follows the FAIR principles, for example"	"Data sovereignty can be addressed within the context of open data"	"Open data increases government transparency"	"Open data enables economic growth and innovation"	"More public awareness about open data is needed"	"Open data contributes to democratization of data"	"It is possible for open data providers to have a say in the use of their data in AI or IoT (Internet of Things) applications"	"It is possible to prevent misuse of open data by generative AI systems"	"Generative AI tools contribute to flooding the web with untrustworthy or misleading data"	"Open data is trustworthy"	"Non-open data is trustworthy"	"FAIR metadata standards like DDI, Schema.org, and DCAT improve trust in open data."	"What is your primary role with respect to open data?"	"What fraction of your time is dedicated to using open data (finding, leveraging, visualizing, analyzing)?"	"Check all that are important to you when thinking about data quality"	"How do you describe the average quality of the open data that you have used?"	"Is the quality of the metadata a good indicator of the data quality?"	"Is the inclusion of valid emails and valid HTTP/HTTPS URLs, for access and contact, a good indicator of the data quality?"	"Is the adherence to open data principles (open file format, open license, and machine readable) a good indicator of the data quality?"	"Have you ever encountered problems with data or metadata quality?"	"Have you ever encountered legal problems with respect to restrictive, unclear, or complex licenses?"	"Name or URL of your most-used source"	"What is your purpose for accessing your most-used source?"	"Which programming language do you use to access your most-used source?"	"Which frameworks or standards are used in your most-used source?"	"Are you able to use the data that you find at your most-used source?"	"Are you able to reuse the data that you find at your most-used source, in whole or in part?"	"Is it easy for you to access, use, and reuse the data that you find at your most-used source?"	"What fraction of your time is dedicated to providing open data (creating, publishing, collecting, storing, stewarding)?"	"In which formats do you provide/publish open data?"	"Please specify in which other formats you publish open data"	"Have you ever encountered privacy or security concerns when deciding to provide open data?"	"Have you ever encountered problems related to strategic or business decisions when providing open data?"	"Have you ever encountered problems related to legal constraints when providing open data?"	"Have you ever encountered any technical barriers in providing open data?"	"Do you encounter challenges with interoperability in applying metadata standards?"	"Do you encounter challenges with tools when applying metadata standards?"	"How important is metadata interoperability for open data reuse?"	"Metadata and data are assigned a globally unique and persistent identifier - Is this important?"	"Metadata and data are assigned a globally unique and persistent identifier - Is this easy to accomplish?"	"Data are described with rich metadata - Is this important?"	"Data are described with rich metadata - Is this easy to accomplish?"	"Metadata clearly and explicitly include the identifier of the data they describe - Is this important?"	"Metadata clearly and explicitly include the identifier of the data they describe - Is this easy to accomplish?"	"Metadata and data are registered or indexed in a searchable resource - Is this important?"	"Metadata and data are registered or indexed in a searchable resource - Is this easy to accomplish?"	"Metadata and data are retrievable by their identifier using a standardised communications protocol - Is this important?"	"Metadata and data are retrievable by their identifier using a standardised communications protocol - Is this easy to accomplish?"	"The protocol is open, free, and universally implementable - Is this important?"	"The protocol is open, free, and universally implementable - Is this easy to accomplish?"	"The protocol allows for an authentication and authorisation procedure, where necessary - Is this important?"	"The protocol allows for an authentication and authorisation procedure, where necessary - Is this easy to accomplish?"	"Metadata are accessible, even when the data are no longer available - Is this important?"	"Metadata are accessible, even when the data are no longer available - Is this easy to accomplish?"	"Metadata and data use a formal, accessible, shared, and broadly applicable language for knowledge representation. - Is this important?"	"Metadata and data use a formal, accessible, shared, and broadly applicable language for knowledge representation. - Is this easy to accomplish?"	"Metadata and data use vocabularies that are findable, accessible, interoperable, and reusable. - Is this important?"	"Metadata and data use vocabularies that are findable, accessible, interoperable, and reusable. - Is this easy to accomplish?"	"Metadata and data include qualified references to other metadata and data. - Is this important?"	"Metadata and data include qualified references to other metadata and data. - Is this easy to accomplish?"	"Metadata and data are richly described with a plurality of accurate and relevant attributes - Is this important?"	"Metadata and data are richly described with a plurality of accurate and relevant attributes - Is this easy to accomplish?"	"Metadata and data are released with a clear and accessible data usage license - Is this important?"	"Metadata and data are released with a clear and accessible data usage license - Is this easy to accomplish?"	"Metadata and data are associated with detailed provenance - Is this important?"	"Metadata and data are associated with detailed provenance - Is this easy to accomplish?"	"Metadata and data meet domain-relevant community standards - Is this important?"	"Metadata and data meet domain-relevant community standards - Is this easy to accomplish?"	"What is the name of your most-recent project?"	"Does your most-recent project have a URL? If so, please provide it here. If not, please provide a brief description of your project"	"When did your most-recent project begin?"	"When did your most-recent project end, or is it ongoing?"	"What was your goal in creating open data with semantic metadata in your most-recent project?"	"How did you evaluate the success of your most-recent project?"	"Which tools, standards, or frameworks (metadata and otherwise) were used in your most-recent project?"	"What advice would you have for others considering a project using open data?"	"Please describe any gaps that you perceive in policies or tools to support open data"	"What do you perceive as the biggest threat to quality data on the web and is there a way to mitigate it?"	"Would you like to communicate anything else?"	"You have reached the end of the survey. Please confirm your intent to submit your survey responses"	"Are you certain that you wish to withdraw?"
"1"	"0.300000011920929"	"65-74"	"male"	"Graduate degree"	"United States of America"	"Expert"	"Expert"	"Government, Public Sector"	"This is identifying"	"no"	"Rarely"	"Yes"	"DDI-Lifecycle, SDMX"	"Persuading management the approach is feasible, cheap, repeatable, effective, and an advance."	"Often"	"All"	"Often"	"US government statistical agencies"	"Somewhat familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very familiar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Very Good"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Often"	"Rarely"	"www.bls.gov"	"Education about current affairs"	"Python, R"	"None"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Little"	"CSV"	""	"Never"	"Never"	"Never"	"Never"	"Often"	"Always"	"Very important"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Advise survey management about using DDI-Lifecycle to describe microdata"	"Behind a firewall"	"2023"	"ongoing"	"To describe as completely as possible public use survey microdata."	"User feedback."	"DDI-Lifecycle and Colectica Repository / Portal"	"Take incremental steps. Keep goals broad, but take small steps forward. This makes steps inexpensive and mistakes rectifiable."	"Management is a huge barrier. Even if upper management is on board, middle management can interfere with implementation."	"Data lose all quality with metadata. Metadata need to be at least as complete as a well-formed DDI-Codebook instance."	"People need to drop saying human readable systems are OK."	"Yes, I confirm that I want to participate - please submit my responses"	""
"2"	"0.899999976158142"	"45-54"	"Male"	"Graduate degree"	"Canada"	"Expert"	"Expert"	"Academia"	"Conestoga College"	"Conestogac.on.ca"	"Rarely"	"No"	""	"We have an RDM group and an institutional repository."	"Often"	"Much"	"Always"	"This list is too large. If you can think of it, I am probably on it."	"Somewhat familiar"	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Very familiar"	"Somewhat disagree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Always"	"Rarely"	"www.nothankyounotinterested.com"	"I am multidisciplinary, so I do not have a most used source. All depends on context."	"Everything but also Rust."	"Do not really care."	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Little"	"CSV,Other (please specify)"	"Json, bson, xml, parquet"	"Rarely"	"Always"	"Rarely"	"Always"	"Always"	"Always"	"Very important"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Rapid Response Housing Project"	"No. Not interested in sharing details right now."	"Not interested in sharing details right now."	"Question is too presumptuous for a survey. Call me for an interview if you want details."	""	"Why do you think I want to share this information? I get enough from ethics!"	"Not an ethics review. "	"Think it through first. Open does not guarantee fairness. There are winners and lovers and we are not always the good guys."	"We need to think about how we share data, how it is maintained and what is reciprocated. Software to support this infrastructure is no longer safe and communities are starving to the point that they no longer want to do it anymore."	"Lack of maintenance support. People want to do research for sure, but living in postdoc or adjunct hell has a half life. Normativity and techno-cults on open only goes so far in this economy."	"Researchers are already chained with compliance requirements that take away from the hard work of research. Stop it with the 48 page ethics reviews and RDM requirements. And don't assume I want to spend my time describing my research to strangers."	"Yes, I confirm that I want to participate - please submit my responses"	""
"3"	"0.899999976158142"	"25-34"	"Male"	"Graduate degree"	"Belgium"	"Expert"	"Expert"	"Academia"	"Imec"	"Imec.be"	"Often"	"Yes"	"Dcat, ldes, schema,... "	"We already do rdf, so I don't think we need more, unless explicitly asked by industry, but that's currently not happening :) "	"Often"	"Much"	"Often"	"W3C, data.vlaanderen.be, lod and semweb communities"	"Very familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Both (User and Provider)"	"Much"	"Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Rarely"	"Too much to mention"	"Professional work (I'm a semweb researcher) "	"Js"	"/"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Much"	"RDF"	""	"Often"	"Rarely"	"Rarely"	"Often"	"Often"	"Often"	"Somewhat important"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Oslo leermiddelen"	"It's on the Web"	"2024"	"2025"	"Data model "	"Ik"	"Rdf"	""	""	"Governance "	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"4"	"0.800000011920929"	"65-74"	"Male"	"Undergraduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Expert"	"Proficient"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Always"	"Little"	"Always"	"sameAs.org, differentFrom.org"	"Very familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"None"	"RDF"	""	"Rarely"	"Often"	"Often"	"Often"	"Often"	"Often"	"Somewhat important"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"sameAs.org"	"https://sameAs.org but it is currently down!"	"About 2008"	"Ongoing"	"Provide google for Linked Data"	"I don't"	"RDF, a bit of OWL, mariaDB, PHP"	""	""	""	"Nobody cares about actually using Linked Open Data the way they say it should be used, by resolving URIs to get the data dynamically.\nEveryone pretends they do.\nBut in practice, they decide in advance what data they want and then gather it all together into an RDF store, possibly even transforming the RDF+OWL on the way in.\nAnd then they use SPARQL to query the whole thing, as if it is a DB."	"Yes, I confirm that I want to participate - please submit my responses"	""
"5"	"0.899999976158142"	"25-34"	"Female"	"Graduate degree"	"United States of America"	"Proficient"	"Advanced beginner"	"Academia"	"University of Tennessee"	"https://www.utk.edu/"	"Often"	"Yes"	""	"Training and support"	"Often"	"Much"	"Often"	"IASSIST, ICPSR, State Data Centers"	"Somewhat familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"User"	"Much"	"Completeness (spatial / temporal / demographic) ,Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Often"	"github.com"	"Improving code, and finding open data for researchers."	"python"	""	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Documentation"	"Lack of curation and oversight"	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"6"	"0.899999976158142"	"25-34"	"Female"	"Graduate degree"	"United States of America"	"Expert"	"Proficient"	"Academia"	"Penn Libraries, University of Pennsylvania"	"https://www.library.upenn.edu/"	"Often"	"Yes"	"Our institutional repository, ScholarlyCommons, utilizes the DublinCore metadata standard and the Data Documentation Initiative in our metadata elements. "	"Clear examples of how this is implemented for a large repository, such as one that has already done this well and is willing to share documentation on the process. "	"Often"	"Much"	"Often"	"IASSIST, RDAP, Data Curation Network"	"Very unfamiliar"	"Very familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very familiar"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Little"	"CSV,Other (please specify)"	"TSV, TIFF, JPEG2000, TXT, PDF"	"Rarely"	"Never"	"Rarely"	"Often"	"Often"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Curated the dataset \"Inducible RPE-specific GPX4 knockout causes oxidative stress and retinal degeneration with features of age-related macular degeneration\" (Handle:Inducible RPE-specific GPX4 knockout causes oxidative stress and retinal degeneration with features of age-related macular degeneration\" (Handle: https://repository.upenn.edu/handle/20.500.14332/61080) "	"https://repository.upenn.edu/handle/20.500.14332/61080"	"2025-02-02"	"2025-03-25"	"The goal was to increase the data's alignment with the FAIR Principles through increased documentation, and better filling out of the standardized metadata elements in the submission form for the institutional repository."	"I would say it was successful based on the rich metadata that the creator submitted with the research data into the repository. "	"Data Documentation Initiative metadata standard and DublinCore metadata standard."	"Half of the work is changing the behaviors of people who work with data. It's less about the technical issues (which are difficult and very real) but the human willingness to learn and shift the way they are currently engaging in research. "	""	"The biggest threat is people who don't believe that data quality makes a difference and are not willing to put in the work to ensure rich, accurate, high quality metadata is recorded for their work. "	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"7"	"0.899999976158142"	"55-64"	"Male"	"Undergraduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Proficient"	"Proficient"	"Academia"	"Uuniversity college London"	""	"Always"	"Yes"	"DDI life ycle"	"More open source tools"	"Often"	"Little"	"Often"	"Many"	"Very unfamiliar"	"Very familiar"	"Very unfamiliar"	"Somewhat familiar"	"Very familiar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	""	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Often"	"Rarely"	""	""	"Oython"	""	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Closer"	"Discovery.closer.ac.uk"	"2012"	"Ongoing"	"Data comprehension & provenance"	"Difficult to do!"	"Ddi"	""	""	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"8"	"0.899999976158142"	"35-44"	"Woman"	"Graduate degree"	"Netherlands"	"Proficient"	"Advanced beginner"	"Academia"	"VU Amsterdam"	"https://vu.nl/nl"	"Often"	"Yes"	"Datacite for project level metadata"	"Something like Colectica, but open-source. Ideally a way to do the Colectica server to allow for DDI codebooks to be hosted online and available for others to easily peruse"	"Often"	"Much"	"Often"	"Not quite sure how to answer the question. Am I accessing these groups etc for support with open data? Or using these groups and e-mail lists to actually get access to the data? My experience is entirely with finding data via data repositories or publicly available government data like statistical data"	"Very unfamiliar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Both (User and Provider)"	"Little"	"Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Often"	"Often"	"As I'm in a supporting role to researchers, I don't have a specific open data source. I am primarily curating others data"	"See previous answer"	"R"	"N/A"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Much"	"CSV"	""	"Always"	"Always"	"Always"	"Always"	"Always"	"Always"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"See earlier responses related to my role. I am in support so I don't have a specific project here"	"n/a"	"n/a"	"n/a"	"n/a"	"n/a"	"n/a"	"Plan for open sharing early. And don't just think about the data being made open as a step at the end of research. Making data open means thinking about openness throughout the project. Provenance of data and the processing steps applied to the data need to be documented during the research process and not as an afterthought once the study is complete and the data are going to be archived and potentially published. "	"There are lots of frameworks for creating metadata like DDI, but the implementation tools continue to be disparate and unclear. I'm happy to see more and more DDI tools being built in open-source software like R and Python, but I'd also like to see more open source hosting sites or data repositories that allow for functionality like the Colectica server option so that the full functionality of DDI can be applied. I'm sure technical people can use machine scripts to work with DDI in its XML format, but many researchers still want the human readable option, and yes there are static human-readable DDI formats, but the interactive kind that can also assist support staff with handling data access requests would be a huge help! E.g. the kinds of codebooks where someone can peruse all available variables, and then indicate which variables of a given dataset they wish to use and making a data access request based on those variables in question. Data access requests will continue to be of importance in my faculty simply because our data are rarely ever anonymous and need to be handled with some level of care."	"AI companies ignoring data licensing and copyright rules to just use data they aren't allowed to. They've already done it with tons of literature and information on YouTube against the copyright or terms of service rules. So I worry about data that is published openly with a non-commercial license being used anyways because AI companies break the rules and get away with it because there is no way to keep them in check."	"Not really. I hope my answers were helpful enough even though I'm coming from a more general viewpoint as a data steward"	"Yes, I confirm that I want to participate - please submit my responses"	""
"9"	"0.899999976158142"	"65-74"	""	"Graduate degree"	"United States of America"	"Expert"	"Advanced beginner"	"Non-Governmental Organization (NGO)"	"Trauma Data Institute"	"traumadata.org"	"Never"	"Yes"	"We are supporting work to develop content-specific and FAIR metadata standards (e.g. ontologies) for our field that will be clearly mapped to other FAIR ontologies & metadata standards. Work in progress."	"We have tried to work with DDI standards. Mapping from ontologies to DDI standards is not always clear (seems like this should work - as in the 'variable cascade' proposed in DDI-CDI). We need tools (and expertise?) to make this more clear and user-friendly for researchers who are content experts but not metadata standard experts. "	"Rarely"	"Little"	"Often"	""	"Very unfamiliar"	"Very familiar"	"Somewhat familiar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	""	""	""	"Strongly agree"	"User"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Rarely"	"I don't use open data much.  I am most involved with data that are FAIR but not open."	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Given the field that I am in (sensitive mental health and social science research data), I am most involved in, and interested in policies or tools to support, data that are FAIR but not open."	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"10"	"0.800000011920929"	"35-44"	"Male"	"Professional degree"	"France"	"Expert"	"Expert"	"Government, Public Sector"	"INRIA"	"https://www.inria.fr"	"Often"	"Yes"	"DCAT-AP"	"form-based generator, import/export from other metadata formats with overlaps"	"Always"	"All"	"Often"	"Linked Open Vocabularies, \ndata.gouv.fr, \nhttps://wimmics.github.io/voidmatic/\n"	"Somewhat familiar"	"Very familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly disagree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Always"	"Rarely"	"linked open data cloud"	"finding datasets"	"N/A"	"DCAT, sparsely"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Little"	"RDF"	""	"Rarely"	"Never"	"Rarely"	"Always"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"IndeGx"	"https://github.com/Wimmics/IndeGx"	"2021"	"2024"	"Publishing of an annotated catalog of open linked data datasets/endpoints"	"Quantity of dataset with annotations found"	"DCAT, DCTERMS, FAIR, Corese, Apache Jena, RDFlib"	"Start filling provenance metadata for every dataset at their conception.\nSet up several means of distribution, with up-to-date metadata, to maintain long-term availability."	"Our biggest problems in our projects came from the short period of open data availability due to a lack of funding and from the disparity in the capacity of the available sources (e.g., download speed, SPARQL compliance, RDF format compliance, etc.)."	"Lack of traceability makes it more difficult to judge the reliability of datasets. Regardless of the source, AI or human, if one does not know the provenance of data, its reliability is pure guesswork."	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"11"	"0.699999988079071"	"45-54"	"Male"	"Graduate degree"	"France"	"Expert"	"Expert"	"Academia"	"Inria"	"http://inria.fr"	"Often"	"Yes"	"The entire RDF stack from W3C and its multiple ontologies"	"Vocabulary portals and search engines, Metadata portals and federated query engines"	"Always"	"Much"	"Rarely"	"w3.org, ns.inria.fr, https://sympa.inria.fr/sympa/info/web.semantique , https://lov.linkeddata.es/"	"Very familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Rarely"	"fr.dbpedia.org"	"creating specialized datasets"	"java"	"RDF, SPARQL, RDFS, OWL"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	"RDF"	""	"Rarely"	"Rarely"	"Rarely"	"Often"	"Rarely"	"Often"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"CORESE"	"https://github.com/corese-stack/"	"1999"	"ongoing"	"support interoperable information systems and AI methods"	"number of users, applications, and lifetime"	"RDF, RDFS, SHACL, SPARQL, OWL, XML, JSON, Turtle, etc."	"contribute and reuse existing open-source, open-standard and open data initiatives"	"we are missing open services online for each steps of the life-cycle of data and their vocabularies ; online service that could be used without requiring any installation on our machines"	"data spamming, data poisoning, data bias, etc.  we need quality control, watch dogs, provenance, etc "	"Europe should invest and support more the W3C and its activities. If not US and China will rule the Web architecture and its (meta)data standards"	"Yes, I confirm that I want to participate - please submit my responses"	""
"12"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"13"	"0.899999976158142"	"45-54"	"Male"	"Graduate degree"	"Canada"	"Proficient"	"Proficient"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"14"	"0.699999988079071"	"35-44"	"male"	"Professional degree"	"Azerbaijan"	"Advanced beginner"	"Novice"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"15"	"0.899999976158142"	"55-64"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"16"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"17"	"0.899999976158142"	"45-54"	""	"Graduate degree"	"Germany"	"Proficient"	"Proficient"	"Enterprise, Private Sector"	""	""	"Often"	"Yes"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"18"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"19"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"20"	"0.800000011920929"	"45-54"	"Female"	"Graduate degree"	"United States of America"	"Expert"	"Advanced beginner"	"Academia"	"American University"	"https://www.american.edu/"	""	"Yes"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"21"	"0.699999988079071"	"25-34"	"Female"	"Graduate degree"	"France"	"Expert"	"Proficient"	"Academia"	"French Center for Socio-Political Data (Sciences Po, CNRS)"	"https://www.sciencespo.fr/cdsp/fr/"	"Always"	"Yes"	"DDI, DataCite, ELSST keywords and CESSDA Vocabularies"	"metadata editor, tutorial video (shorter than webinars)"	"Often"	"Much"	"Rarely"	"https://data.sciencespo.fr/\nhttps://iassistdata.org/\nhttps://ddialliance.org/\nhttps://recherche.data.gouv.fr/fr\nhttps://www.data.gouv.fr/fr/\nhttps://www.rd-alliance.org/\nhttps://datacite-france.fr/\nhttps://amt.coretrustseal.org/certificates\n"	"Somewhat familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat familiar"	"Very familiar"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Often"	"Rarely"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"22"	"0.899999976158142"	"25-34"	"female"	"Professional degree"	"Canada"	"Expert"	"Advanced beginner"	"Academia"	"Royal Roads University "	"library.royalroads.ca"	"Rarely"	"No"	""	"training on how to properly use DDI. I would really like to implement it, but we are stretched extremely thin and my job is about ten jobs in one, as is the case across many universities in Canada."	"Often"	"Much"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"23"	"0.699999988079071"	"35-44"	"Female"	"Graduate degree"	"Canada"	"Advanced beginner"	"Novice"	"Academia"	"Dalhousie University"	"https://www.dal.ca/"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"24"	"0.899999976158142"	"45-54"	"Male"	"Professional degree"	"India"	"Advanced beginner"	"Novice"	"Academia"	"IIIT Hyderabad"	"www.iiit.ac.in"	"Rarely"	"Yes"	"Other Metadata Standards"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"25"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"26"	"0.899999976158142"	"55-64"	"m"	"Graduate degree"	"Germany"	"Expert"	"Expert"	"Non-Governmental Organization (NGO)"	""	""	"Always"	"Yes"	"own metadata structure with possibilities to export DDI-Codebook"	"Better documentation/examples. E.g. how to document a collection of multiple tables in DDI-C. (There are several options: repeated or not repeated filedscr and datadsc. Use or non-use of vargrp, use of location etc.)"	"Always"	"All"	"Rarely"	""	"Very unfamiliar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very familiar"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"27"	"0.899999976158142"	"25-34"	"Male"	"Undergraduate degree"	"Canada"	"Proficient"	"Advanced beginner"	"Academia"	"Carleton University"	"https://carleton.ca/"	"Often"	"Yes"	"DDI and MARC\n"	"Ease-of-use tools, such as automated encoders\n"	"Often"	"Much"	"Rarely"	"IASSIST, DLI, Canlib DATA, odc-DATA, Statistics Canada, US Census, BOrealis, Abacus, FRED,"	"Somewhat unfamiliar"	"Very familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Very familiar"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Rarely"	"Often"	"https://www.statcan.gc.ca/en/start"	"Recurring resource for similar reference questions\n"	"SPSS or Python (tie)"	""	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Much"	"CSV"	""	"Often"	"Often"	"Often"	"Rarely"	"Always"	"Often"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	""	""	""	""	""	""	""	""	""	""	""	""	""
"28"	"0.899999976158142"	"35-44"	""	"Graduate degree"	"Canada"	"Proficient"	"Advanced beginner"	"Academia"	""	""	""	""	""	""	"Often"	"Much"	"Rarely"	""	"Very unfamiliar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Little"	"CSV"	""	"Often"	""	"Rarely"	"Rarely"	"Rarely"	"Often"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	""	""	""	""	""	""	""	""	""	""	""	""	""
"29"	"0.899999976158142"	"35-44"	"Woman"	"Graduate degree"	"Canada"	"Novice"	"Novice"	"Academia"	"University of Regina"	"https://www.uregina.ca/"	"Never"	"No"	""	"I don't know."	"Never"	"None"	"Never"	"N/A"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"User"	"None"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Rarely"	"Often"	"I haven't used open data; I'm just interested in potentially doing so in the future."	"N/A - have not accessed"	"N/A"	"N/A"	"Somewhat disagree"	"Somewhat disagree"	"Strongly disagree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Unsure - have not used yet"	"Not sure"	"No"	"Yes, I confirm that I want to participate - please submit my responses"	""
"30"	"1"	"65-74"	"Male"	"Graduate degree"	"Canada"	"Advanced beginner"	"Novice"	"Enterprise, Private Sector"	"myLaminin"	"https://www.myLaminin.net"	"Rarely"	"No"	""	"Some recognized standards that are simple for PIs to use."	"Never"	"Little"	"Often"	"Dataverse"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Little"	"Other (please specify)"	"Researchers using our platform can make available some metadata related to their research available/accessible with the capability to request greater access and/or collaboration with the owner of the data (the PI). \n\nThis access and visibility is provided through our search feature on our hosted platform."	"Never"	"Never"	"Often"	"Always"	"Always"	"Always"	"Very important"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"myLaminin"	"https://www.myLaminin.net"	"2021"	"Ongoing"	"Secure research data, facilitate global collaboration, and meeting regulatory standard requirements. "	"Ongoing - still in growth phase. Adoption by the higher education research community is slow."	"MERN stack application and blockchain technology to secure research data, and track its provenance."	"Have a single point of truth for open data standards and their use and more practical tools to provide advice on how to implement it."	"It's very difficult for the private sector to support higher education researchers in establishing tools that simplify the use of open data principles due to a) poor engagement with academia, and b) plethora of tools and standards that are hard to navigate."	"The lack of ability to track the use and sharing of research data - data provenance."	"Interested to see the results of this survey and I hope it goes beyond the merely technical standards issues and suggests opportunities to make open data simpler to understand, implement, and adopt."	"Yes, I confirm that I want to participate - please submit my responses"	""
"31"	"0.899999976158142"	"25-34"	"F"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"32"	"0.699999988079071"	"55-64"	"female"	"Graduate degree"	"United States of America"	"Expert"	"Proficient"	"Government, Public Sector"	"U.S. Geological Survey"	"https://www.usgs.gov/science-data-management"	"Always"	"Yes"	"ISO 19115 and related, FGDC CSDGM, DCAT, CF/NetCDF"	"Metadata creation and validation tools are always the linchpin to adoption in U.S. research agencies, particularly those tools with user interfaces that facilitate directed responses where possible (picklists, services to controlled vocabularies) and use clear, jargon-free language to prompt responses. Users don't have time to become experts on the metadata standard; they are experts about their data, and simply need to know what details about those data to provide in each field."	"Often"	"Much"	"Often"	"RDA, CODATA, RDAP, ASIS&T, ESIP (organizations, their conferences/working groups, and their published materials)"	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat familiar"	"Very familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"CSV,Other (please specify)"	"CF, open GIS formats"	"Rarely"	"Rarely"	"Often"	"Rarely"	"Rarely"	"Often"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"(I have not recently facilitated an open data release, as I've moved into a technical role)"	"n/a"	"n/a"	"n/a"	"n/a"	"n/a"	"n/a"	"Tools to facilitate creation and validation of metadata in FAIR standards/formats are critical; producers of data do not have time and opportunity to become metadata experts. Resources such as checklists, short and targeted tutorials on FAIR principles that are directly impacted or influenced by their decisions, and workflows to acquire and assign identifiers are valuable. Researchers are generally supportive of open data, but not at the expense of time-consuming workflows and requirements that are hard to implement on their part and reduce their available time to spend on their research. The right tools and processes at the right time in their research project are most likely to be used successfully to support their data being fully FAIR."	"Lack of useful, easy to use tools for ISO 19115-x metadata generation and validation is a HUGE problem in the research community. Researchers have to become experts in ISO metadata in order to produce it, and this is an enormous barrier to implementation. The ISO community has done little to prioritize this, and the standard is so obscure and complicated that it is nearly impossible to support. It's incredibly disappointing that the leadership of the standard have absolved themselves of the responsibility for supporting a pathway to actual implementation of the standard. The private sector is mostly unwilling to invest in a solution, and as a result, most ISO metadata generated in the research community is minimal in scope and extent, and therefore not FAIR. DCAT is a good standard and supports interoperability, but it is wholly incomplete in terms of addressing data quality and data provenance, which renders it incapable of fully supporting FAIR data. It would be great to see the DCAT community take on the inclusion of data quality and data provenance in a future DCAT 4 standard."	"The need to train AI to understand and evaluate data quality and data provenance metadata attributes when using/incorporating/understanding research data to produce some kind of scientific statement or conclusion based wholly or in part on someone's data. (Fake news based upon faulty or incomplete understanding of data)"	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"33"	"0.300000011920929"	"35-44"	"male"	"Graduate degree"	"United States of America"	"Proficient"	"Proficient"	"Academia"	"Washington University in St. Louis"	"www.washu.edu"	"Often"	"Yes"	"datacite schema"	"workshops"	"Often"	"Much"	"Rarely"	"RDAP, RDA"	"Very unfamiliar"	"Very familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Often"	"Rarely"	"https://www.ncbi.nlm.nih.gov/"	"Research"	"R"	"NA"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Much"	"CSV,Other (please specify)"	"PDF, TXT"	"Rarely"	"Never"	"Rarely"	"Never"	"Rarely"	"Rarely"	"Very important"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Resources and tools to combat fake science in the ages of Gen AI"	"https://digitalcommons.wustl.edu/becker_pubs/66/"	"05/2024"	"On going"	"NA"	"Publication"	"NA"	"Check metadata first"	"Real world data practices are different from textbook examples."	"Training on data accuracy and metadata standard. "	"Survey is too long."	"Yes, I confirm that I want to participate - please submit my responses"	""
"34"	"0.899999976158142"	"25-34"	"Male"	"Graduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Expert"	"Expert"	"Government, Public Sector"	""	""	"Often"	"Yes"	"Data on the Web Best Practices, Schema.org, DCAT, RDF Data Cube, CSV on the Web, JSON-LD."	"Open source tooling with a nice user API, in something like R or Python."	"Often"	"Much"	"Always"	"W3C"	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Timeliness (speed of data release)"	"Poor"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Always"	"Rarely"	"GOV.UK"	"Analysis"	"R, Python"	"Schema.org, DCAT"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Much"	"CSV,RDF"	""	"Rarely"	"Rarely"	"Rarely"	"Often"	"Often"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"[NA]"	"We take statistical data and turn it into RDF, linking together different statistics about countries etc."	"2020"	"Ongoing"	"Transparency, innovation"	""	"RDF, schema.org, DCAT etc."	"JSON-LD and the Data on the Web Best Practices are great resources"	"RDF is hard and the tooling isn't great"	"The barrier to entry for those who wish to describe their data, to do so in machine readable and standards compliant methods"	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"35"	"0.600000023841858"	"18-24"	"Male "	"Undergraduate degree"	"Nigeria"	"Advanced beginner"	"Advanced beginner"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Never"	"Unsure"	"Never"	""	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat familiar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"User"	"Little"	"Consistency (uniformity within the dataset)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Rarely"	"Never"	"Chrome "	"Retrieving of information "	"English "	"Frame work with the work book "	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Source "	"I need money for data subscriptions please next time add pay "	"Yes, I confirm that I want to participate - please submit my responses"	""
"36"	"0.899999976158142"	"55-64"	"male"	"Undergraduate degree"	"United States of America"	"Expert"	"Expert"	"Enterprise, Private Sector"	"Federated Knowledge, LLC"	"https://federatedknowledge.com"	"Often"	"Yes"	"DCAT, Dublin Core, RDFS, SKOS"	"RDF-based tools including URIs for linked data"	"Often"	"Much"	"Often"	"LinkedIn, EDM Council, Dataworthy Collective, GitHub, W3C Semantic Web email list, OMG email lists, ChatGPT"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Often"	"Rarely"	"gleif.org"	"reliable company information"	"Python and XSLT"	"OWL, RDF, Dublin Core"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Little"	"RDF"	""	"Often"	"Rarely"	"Rarely"	"Often"	"Often"	"Often"	"Somewhat unimportant"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"DPROD Data Product Ontology"	"https://ekgf.github.io/dprod/"	"December 2023"	"ongoing"	"Allow people to manage and publish reusable data products"	"feedback on LinkedIn"	"Re-spec, VS Code, Eccenca Corporate memory"	"Business-driven use cases and competency questions. Consider long-term maintenance and whether that investment has a ROI"	"Unclear licensing for data (as opposed to documents) provided by ISO. lack of a standard notation for RDF data, ontologies (with full support for properties) and shapes (SHACL)"	"Lack of financial reward for people maintaining open data, which means it degrades over time - there should be some sort of micropayment incentive"	"Big issue around Linked Data is lack of scope or a standard way to configure what is returned when accessing a URI. In general one cannot assume that the server hosting the URI has all the data about the item; and conversely may have far too much. We now use URIs to represent real world entities not web-based resources/pages which iis all we had when TBL started."	"Yes, I confirm that I want to participate - please submit my responses"	""
"37"	"0.699999988079071"	"55-64"	"Male"	"Graduate degree"	"United States of America"	"Expert"	"Expert"	"Academia"	"University of Pittsburgh"	"www.dbmi.pitt.edu"	"Often"	"Yes"	"self-developed metdata frameworks and ontologies."	"json-ld, owl"	"Often"	"Much"	"Often"	"many - too many to list "	"Very unfamiliar"	"Very familiar"	"Very familiar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Often"	"no particular source"	"no particular most-used source"	"Python"	"no single most-used source"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Little"	"CSV"	""	"Rarely"	"Rarely"	"Often"	"Rarely"	"Rarely"	"Often"	"Somewhat important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"MIDAS Coordination Center"	"https://midasnetwork.us"	"2019"	"ongoing"	"we are mandated to share data"	"still ongoing "	"OWL"	"use standards and existing ontologies "	"it's very hard to create structured metadata, particularly if you're not skilled in data science"	"better tools "	"no, thanks "	"Yes, I confirm that I want to participate - please submit my responses"	""
"38"	"0.800000011920929"	"35-44"	"male"	"Graduate degree"	"Russian Federation"	"Expert"	"Advanced beginner"	"Government, Public Sector"	"Innovation and digital development agency"	"https://www.idda.az/"	"Never"	"Yes"	"DCAT inside the Open data portal"	"more applied examples"	"Always"	"Much"	"Rarely"	"https://opendata.az/, ODCWG (open data charter working group) monthly call, https://ckan.org/, http://5stardata.info/en/"	"Very familiar"	"Somewhat familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"All"	"CSV,RDF,Other (please specify)"	"for now we are not restricted file formats, just providing information about 5 stars maturity model saying that it should be published according open data principles, by publishing open data with good quality you increase its applicability"	"Often"	"Often"	"Often"	"Often"	"Always"	"Often"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Then national open data portal of the Republic of Azerbaijan - https://opendata.az/"	"https://opendata.az/"	"2024"	"ongoing"	"to increase its applicability"	"we did a lot of nice staff"	"CKAN, PortalJS"	"Just start doing"	"The link with AI"	"the publishers' obligation to keep the data updated, sustainability of open data sources"	"I am interesting to see your results + ready to contribute more, thank you for inviting to take part"	"Yes, I confirm that I want to participate - please submit my responses"	""
"39"	"0.899999976158142"	"45-54"	"male"	"Graduate degree"	"Germany"	"Proficient"	"Expert"	"Government, Public Sector"	"North-Rhine Westphalian Library Service Centre"	"https://www.hbz-nrw.de"	"Often"	"Yes"	"Dublin Core, Bibframe, schema.org, Bibo, RDA, SKOS and more"	"JSON Schema for publising DDI-compliant data as JSON-LD, controlled value lists encoded as SKOS"	"Often"	"Much"	"Often"	"We are mainly publishing open data via lobid.org and use the open data provided by German National Library (DNB): https://data.dnb.de/opendata/ Furthermore, we are diting and using Wikidata."	"Very familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Often"	"Rarely"	"https://www.dnb.de/lds"	"Reuse in own applications"	"java"	""	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	"RDF,Other (please specify)"	"We support Linked Open Usable Data and provide JSON-LD via HTTP APIs so that the data can both be used as simple JSON or as RDF. Most users are happy with just processing it as JSON."	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"being in the library business, \"open data\" mostly means \"open metadata\". With the OER search index (https://oersi.org), we provide open metadata for Open Educational Resources from collections all over the web."	"https://oersi.org"	"2020"	"It is now a production ."	"to provide easy usable, well-documented, interoperable structured data"	"access logs"	"AMB (schema.org-based metadata profile, see https://w3id.org/kim/amb/latest/), JSON Schema, elasticsearch, Java, Python, Metafacture"	"refrain from \"ontology wanking\", i.e. putting too much thought into the details of data modeling. Focus on providing usable JSON, make it linked data with a JSON-LD @context. Use proven standards like schema.org and SKOS and adapt them to your needs if necessary (e.g, by specifying your schema.org usage through documenting a metadata profile)."	"I have been in the open data provision business for a long time and am content with our setup. For classifications and other controlled vocabularies, collectively trained suggest services (based on annif or similar tools) would be great."	"There is a shortage of people that are capable of describing resources well using structured data. Librarians might do the job but resources are being cut more and more."	"Generally, I have been refraining more and more from pushing Linked Data and open data and just do it in a way that makes clear it is a sensible thing to do because people like the utility and ease of use."	"Yes, I confirm that I want to participate - please submit my responses"	""
"40"	"0.800000011920929"	"25-34"	"male"	"Graduate degree"	"Belgium"	"Proficient"	"Proficient"	"Academia"	"IDLab (imec - UGent)"	"https://www.idlab.ugent.be/"	"Often"	"Yes"	"DCAT, PROV(-O), ODRL/DKV, FRBR/FaBiO/BiDO, SKOS, Dublin Core, JSON-LD, SHACL, URN/DOI/PURL/WebID, VC, LDP, LDES, LDN, (YARR)RML, W3C Privacy Principles, Data Spaces (IDSA, DSSC, Gaia-X, iShare), plus more specific vocabulary per project (often OSLO/SEMIC standards)"	""	"Often"	"Much"	"Rarely"	"We have much interaction with OSLO, and many W3C Working Groups (and thus mailing lists), for my team specifically around Solid/LWS, ODRL, and VC. Datasets or catalogues depend on specific projects, and are typically Belgian government- or NGO-maintained; e.g. netwerkdigitaalerfgoed.nl, meemo.be, statbel.fgov.be, data.gov.be, odwb.be, vlaanderen.be/datavindplaats, researchportal.be."	"Very familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"User"	"Little"	"Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Often"	"Never"	""	""	"SPARQL"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"AI, and lack of interoperable standard of legally enforceable usage control. Given such a system (e.g. the combination of UMA/GNAP with ODRL/DVP), it would be possible to enable an automatic negotiation, in which conditional access is granted. For Open Data, the only condition could be that the consumer has to sign a legally binding usage policy, specifying the permitted purpose and processing of the data."	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"41"	""	"45-54"	"male"	"Graduate degree"	"Germany"	"Proficient"	"Expert"	"Enterprise, Private Sector"	"PAMIYA Strategic Advisors"	"https://www.pamiya.org/"	"Rarely"	"Yes"	"dublin core, pav, prov-o, skos, rdfs"	""	"Always"	"Much"	"Rarely"	"openfigi.com, permid.org, wikidata, reddit"	"Very familiar"	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Rarely"	"Never"	"permid.org"	"providing business reference data\n"	"C, R"	"federated sparql"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	"RDF"	""	"Never"	"Never"	"Never"	"Never"	"Never"	"Rarely"	"Somewhat important"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"iso10383"	"https://data.ga-group.nl/iso10383/"	"2017"	"still ongoing"	"continuation of FIBO's work"	"I don't"	"github, turtle/RDF"	""	"not everyone adheres to the most popular semantic standards, e.g. providing void descriptions of the dataset, or SHACL shapes for validation\n"	"non-persistence, i.e. 404 errors without the means to find a follow-up project"	"no"	"Yes, I confirm that I want to participate - please submit my responses"	""
"42"	"0.899999976158142"	"65-74"	"Male"	"Graduate degree"	"United States of America"	"Expert"	"Proficient"	"Academia"	"Columbia University"	"https://www.columbia.edu/"	"Always"	"Yes"	"Dublin Core, FGDC, ISO"	"Metadata Ingest, Dissemination, and Harvesting"	"Always"	"All"	"Often"	"DOAR"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Often"	"Often"	"DOAR"	"Access"	"None"	"OAIS"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Much"	"CSV"	""	"Rarely"	"Rarely"	"Rarely"	"Often"	"Often"	"Often"	"Somewhat important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Anonymous"	"Cancelled"	"6 months ago"	"1 month ago"	"Usability"	"Usage"	"DC"	"Ask many questions"	"Funding, sustainability, reliability"	"Absence of verifiable information. Provide verifiable information."	"Good luck!"	"Yes, I confirm that I want to participate - please submit my responses"	""
"43"	"0.800000011920929"	"65-74"	"Male"	"Graduate degree"	"United States of America"	"Expert"	"Proficient"	"Non-Governmental Organization (NGO)"	"QUDT.org"	"https://qudt.org"	"Always"	"Yes"	"Dublin Core, SHACL, OWL, PROV, SKOS"	""	"Always"	"Much"	"Rarely"	"Various W3C sites and lists, Wikidata, Wikipedia, "	"Somewhat familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"RDF,Other (please specify)"	"html"	"Never"	"Never"	"Never"	"Rarely"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	""	""	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"QUDT"	"https://qudt.org"	"2011"	"Ongoing"	"Open source, machine-readable vocabularies for units of measure"	"Ongoing"	"Already answered earlier"	"Start with FAIR"	"Cumbersome standardization processes"	"Lack of support for infrastructural activities"	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"44"	"0.899999976158142"	"45-54"	"female"	"Graduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Expert"	"Proficient"	"Academia"	"University of Oxford"	"https://www.ox.ac.uk/"	"Often"	"Yes"	"too hard to describe formats used by the entirety of Oxford; our project conforms as described here: https://fairsharing.gitbook.io/fairsharing/alignment-with-community-efforts#how-fairsharing-aligns-with-fair"	"Our project, FAIRsharing (https://fairsharing.org/), was created exactly for this purpose. It is a curated, informative and educational resource on data and metadata standards, inter-related to databases and data policies, across all disciplines. It guides consumers to discover, select and use these resources with confidence, producers to make their resource more discoverable, more widely adopted and cited, and powers third party tools by providing trustworthy content to promote standards and databases.\n"	"Often"	"Much"	"Rarely"	"RDA, FORCE11, EOSC, ELIXIR"	"Somewhat familiar"	"Very familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"Other (please specify)"	"JSON, JSON-LD"	"Never"	"Never"	"Never"	"Rarely"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"FAIRsharing, https://fairsharing.org/"	"https://fairsharing.org/"	"2009"	"ongoing"	"ensuring researchers are able to access the information they need to enable FAIR; and ensuring policymakers can access that same info to also help FAIR; to allow tools to use our metadata for FAIR-related projects e.g. FAIR assistance, and DMP creation"	"very successful ;-)"	"https://fairsharing.gitbook.io/fairsharing/alignment-with-community-efforts#how-fairsharing-aligns-with-fair"	""	"policies should be written with the help of e.g. https://doi.org/10.5281/zenodo.6225774 and then registered within FAIRsharing."	"LLMs. However, LLMs also have great potential esp if they only ingest FAIRified data and then e.g. help make other data FAIR."	"Let us know how FAIRsharing can help your project! Our content can be used for landscape analyses of policies, standards and databases across all research areas."	"Yes, I confirm that I want to participate - please submit my responses"	""
"45"	"0.899999976158142"	"55-64"	"Female"	"Professional degree"	"Canada"	"Proficient"	"Novice"	"Academia"	"University of Regina"	"Uregina.ca"	"Never"	"Yes"	"Not sure"	"Not sure"	"Often"	"Much"	"Often"	"Statistics Canada, City of Regina, Eurostat, other statistical government agencies"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly disagree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"User"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Never"	"Statistics Canada"	"Research and teaching"	"None"	"Not sure"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Accessing Stats Canada data is difficult - poor user interface"	"AI"	"No"	"Yes, I confirm that I want to participate - please submit my responses"	""
"46"	"0.899999976158142"	"35-44"	"F"	"Graduate degree"	"United States of America"	"Proficient"	"Advanced beginner"	"Academia"	"University of Michigan"	"https://umich.edu/"	"Rarely"	"Yes"	"Dublin Core, schema.org (our repository uses these--though these questions seem to be about the organization as a whole? I'm not sure what all other standards may be used at the University. MeSH, probably, EML?)"	"Understanding how it interacts with or maps to other standards, and in what instances it is the better choice."	"Always"	"Much"	"Often"	"IASSIST listserv, datacure Slack, DCN and RDAP Slack and membership"	"Very unfamiliar"	"Very familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"CSV,Other (please specify)"	"Almost any (commonly-used) format it is provided to us in. We encourage open formats but also allow proprietary data and software files to be deposited."	"Often"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Library of Compounds Tested for CYP2W1 Inhibition"	"https://doi.org/10.7302/81h9-qk39"	"Yesterdat"	"Today"	"Ingesting a record into our institutional data repository and reviewing/publishing it with enough metadata for it to be discoverable, reusable, understandable, and trusted."	"We have a standard workflow; and responsiveness of the depositor."	"Dublin Core, tidy data, codebooks"	"Data on its own is not enough; and it is important to understand what data should not be fully open, and why. But it's also important to ask what can be made public and not assume nothing can."	"de-identification support and confirmation resources are the biggest one I see; and education on informed consent language for open data sharing."	"too much low-quality data. Trusted and widely-adopted processes and standards, and adherence to them. I also think more incentives that recognize and provide resources for the labor that goes into creating useful open data are important and too little at the moment (i.e., funding, P&T consideration of data as scholarly products, etc.)"	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"47"	"0.899999976158142"	"35-44"	"Male"	"Graduate degree"	"Canada"	"Advanced beginner"	"Proficient"	"Academia"	"Cape Breton University"	"https://www.cbu.ca/"	"Rarely"	"No"	""	"Library administration understanding and supporting data resources"	"Often"	"Much"	"Often"	""	"Very unfamiliar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Little"	"CSV,Other (please specify)"	"Geospatial formats (dbf, shp, etc), raster data (jpg, jpg2000, geojsn, etc)"	"Rarely"	"Never"	"Never"	"Rarely"	"Rarely"	"Often"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Really getting to the personally identifiable questions here..."	""	"Yore"	""	""	""	""	""	"Knowledge outside of libraries, external creators not including libraries/librarians in creating their own metadata standards, adoption, education, information"	"Non-information professionals doing information professional work in a field they don't know anything about."	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"48"	"0.899999976158142"	"45-54"	"female"	"Undergraduate degree"	"Canada"	"Advanced beginner"	"Advanced beginner"	"Academia"	"Queen's University"	"https://www.queensu.ca/"	"Often"	"Yes"	"DDI, Dublin core"	""	"Often"	"Much"	"Rarely"	""	"Somewhat unfamiliar"	"Very familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very familiar"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly disagree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"CSV"	""	"Often"	"Often"	"Often"	"Often"	"Often"	"Often"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"RDM Capacity Survey"	"Survey of institutional administrators to see if the institution has the tools and resources in place for their researchers to meet RDM best practices."	"2023"	"should be completed at the end of 2025 or early 2026"	"To have our results as open as possible and transparent. Also, so others could easily use our data or do similar research. "	"A decent response rate and publication of the data as openly as possible. "	"FAIR, DDI, OCAP, DMP Assistant"	"Always start with a data management plan "	"Tools are constantly being designed and improved to meet gaps as they come up. The biggest gap (really challenge) is the lack of funding to be able to ensure data can be made open, meet the FAIR principles and other policies or best practices, mostly in having properly trained staff to make this happen. "	"Lack of funding for proper training, staff, resources and tools."	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"49"	"0.899999976158142"	"35-44"	"Male"	"Graduate degree"	"France"	"Expert"	"Expert"	"Government, Public Sector"	"European Parliament"	"https://data.europarl.europa.eu"	"Always"	"Yes"	"DCAT, Dublin Core, ELI, ELI-DL"	""	"Always"	"Much"	"Often"	"https://data.europarl.europa.eu\n"	"Very familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly disagree"	""	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"All"	"CSV,RDF,Other (please specify)"	"JSON (JSON-LD)"	"Rarely"	"Rarely"	"Rarely"	"Often"	"Always"	"Often"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Somewhat disagree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"European Parliament Open Data Portal"	"https://data.europarl.europa.eu"	"2020"	"ongoing"	"The primary goal of creating open data with semantic metadata in my most recent project was to improve semantic interoperability, ensuring that both internal and external reusers could interpret and integrate the data accurately across diverse contexts. By aligning the data with established ontologies and open standards, we aimed to extend its usefulness beyond immediate application boundaries.\n\nAnother key motivation was to ensure the longevity and independence of the data models from the underlying IT systems. We designed them to remain valid and meaningful even after the original applications are decommissioned."	""	"Standards : SHACL, SHACL, SHACL... + ELI & ELI-DL ontologies + Dublin Core + DCAT + SKOS\nTools : SHACL Play (https://shacl-play.sparna.fr)"	"Start with the reusers in mind, both internal and external. Understanding their potential needs early on will help you model your data in a way that's meaningful beyond your immediate project. Invest in clear, well-documented metadata - reuse the existing ontologies or standards as much as possible. This will save you and future users time and headaches.\n\nDon’t treat open data as just a technical export—think of it as a long-term asset. Systems may change, but your data (if semantically structured) can outlive the applications that created it. Also, start small, but something that is very much wanted (\"high value datasets\"). Finally, engage with the community – others have likely solved similar problems and open data thrives on shared experience."	""	"One of the biggest threats to quality data on the web is the inconsistent use of standards and vocabularies, which leads to semantic fragmentation, limited interoperability, and ultimately, data that is difficult to reuse effectively.\n\nThis is not just a threat, but a symptom of deeper issues, such as:\n\n·       Short-term project thinking: When data initiatives are driven by quick wins or compliance checkboxes, long-term quality and reusability often suffer.\n·       Low data literacy among stakeholders involved in data production,\n·       And the classic \"garbage in, garbage out\" problem—where poor source data flows into open datasets, reducing their utility regardless of how well they're published.\n\n\nThese are root causes that, if left unaddressed, erode the overall quality and trustworthiness of data on the web.\n\nTo mitigate these challenges, several strategies are effective:\n\n·       Raising awareness across the organization about the long-term value of high-quality, semantically aligned data—not just at the open data publishing stage.\n·       Improving data literacy, especially among those involved in upstream data collection and modeling.\n·       Reusing existing vocabularies and standards consistently—not only in open data portals, but embedded throughout the data lifecycle, including internal source systems.\n\nIn addition, fostering collaboration across teams and departments, and investing in tooling that supports metadata validation and standardisation, can go a long way in maintaining data quality at scale."	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"50"	"0.899999976158142"	"25-34"	"male"	"Graduate degree"	"Canada"	"Proficient"	"Proficient"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"51"	"0.899999976158142"	"25-34"	"Male"	"Undergraduate degree"	"United States of America"	"Novice"	"Novice"	"Enterprise, Private Sector"	"Southwest Airlines"	"southwest.com"	"Never"	"No"	""	""	"Never"	"None"	"Never"	""	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"User"	"None"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Never"	"Never"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Generative AI"	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"52"	"0.899999976158142"	"55-64"	"Female"	"Professional degree"	"Canada"	"Proficient"	"Novice"	"Academia"	"University"	""	"Often"	"Yes"	""	""	"Rarely"	"Little"	"Often"	"Stats Canada"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	""	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"53"	"0.699999988079071"	"35-44"	"Male"	"Post-secondary certificate"	"Namibia"	"Advanced beginner"	"Advanced beginner"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Often"	"Little"	"Often"	"Social Media Platforms, and various local entities in Namibia and SADC"	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Always"	"Always"	"GitHub"	"As there is not much publicly available information on the data for Namibia and Southern Africa\n"	"Python, and Manual research"	"Various\n"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Much"	"CSV,RDF"	""	"Often"	"Rarely"	"Rarely"	"Always"	"Often"	"Often"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Tourism Analytics for Namibia and SADC"	"It was to identify and gather data from more sources than the usual points of entry into the country"	"2023"	"Ongoing"	"Yes"	"Achieved 60% of what it aimed to achieve"	"Metadata, open data standard, and Python"	"MAke sure that the data is legitimate and from official sources, and having a structure from day 1 will help with the clean up of the data later"	"Lack of policies and procedures in Southern Africa/Namibia\n"	"AI and Fake News/Misinformation"	"Thanks for the opportunity"	"Yes, I confirm that I want to participate - please submit my responses"	""
"54"	"0.800000011920929"	"55-64"	"male"	"Professional degree"	"Netherlands"	"Expert"	"Expert"	"Government, Public Sector"	"Dutch Digital Heritage Network"	"https://netwerkdigitaalerfgoed.nl"	"Always"	"Yes"	"DCAT, Schema.org, Linked Art, Records-in-Context ontology, IFLA-LRM/RDA, Persons in Context (https://personsincontext.org)"	"We support the Cultural Heritage institutions in the Netherlands to adopt and implement metadata standards. Through our network we provide training and tools about (linked) data standards "	"Always"	"All"	"Rarely"	"https://datasetregister.netwerkdigitaalerfgoed.nl/?lang=en"	"Very familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"All"	"CSV,RDF,Other (please specify)"	"all type of data provided through the APIs of cultural heritage institutions such as XML (OAI-PMH), json - our service is aimed at increasing the visibility and usability of cultural heritage information"	"Often"	"Often"	"Often"	"Often"	"Often"	"Often"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"https://datasetregister.netwerkdigitaalerfgoed.nl/?lang=en"	"https://datasetregister.netwerkdigitaalerfgoed.nl/?lang=en"	"around 2018"	"is a continuous service"	"improve the visibility and usability of cultural heritage data "	"we have been quite successful but implementation is a long term effort "	"https://docs.nde.nl/requirements-datasets/ is build as linked data and uses DCAT and Schema.org Dataset."	"Be persistent and follow standards"	"People and organizations have many reservations about opening up their data (legal, commerical, fear of showing what they really do etc). Our efforts are grounded in a National Strategy for Digital Heritage which puts value for the end user in the centre and calls upon institutions to open up their data and show their value for society. See https://zenodo.org/records/14760720"	"The brutal crawling by AI bots is a serious threat to open data and open source and we should find ways to regulate this behavior in a better way than hoping them to respect robots.txt! "	"No"	"Yes, I confirm that I want to participate - please submit my responses"	""
"55"	"0.699999988079071"	"45-54"	"female"	"Graduate degree"	"United States of America"	"Expert"	"Proficient"	"Academia"	""	""	"Often"	"Yes"	""	"Funding"	"Often"	"Much"	"Often"	""	"Somewhat familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"User"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Often"	"Often"	""	""	"Python"	""	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"56"	"1"	"35-44"	"woman"	"Graduate degree"	"Canada"	"Novice"	"Novice"	"Academia"	"University of Regina"	"University of Regina"	"Rarely"	"No"	""	""	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"57"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"58"	"0.899999976158142"	"25-34"	"Male"	"Graduate degree"	"Canada"	"Expert"	"Expert"	"Non-Governmental Organization (NGO)"	"Digital Research Alliance of Canada"	"alliancecan.ca"	"Always"	"Yes"	"DataCite, Dublin Core"	"Published crosswalks from other commonly used metadata standards"	"Often"	"Much"	"Rarely"	"'- Canlib-data (listserv)\n- Borealis\n- ArcGIS\n- Research-dataman (listserv)\n- Digital Research Alliance of Canada Research Data Management Network of Experts"	"Somewhat familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very familiar"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Often"	"Often"	"Borealis"	"Analysis of published research data in Canada"	"Python"	"DDI, DataCite, Dataverse API"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Much"	"Other (please specify)"	"DataCite, Dublin Core (metadata records)"	"Rarely"	"Never"	"Rarely"	"Often"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Lunaris"	"lunaris.ca"	"2021"	"ongoing"	"To broaden the reach of existing open (and non-open) Canadian datasets."	"It is growing but successful."	"'- Dataverse\n- DataCite (metadata)\n- DCAT-US v1.1\n- CKAN\n- OAI-PMH\n- Socrata"	"Take the time to curate complete and correct metadata in an appropriate standard. This will help yourself and others understand the data and broaden its reach in the community."	""	"I think apathy around (meta)data quality is the biggest threat. If data providers don't care to provide data at a high level of quality and describe it in a maximally useful way, nobody else will do it for them and potentially useful data will be lost and/or missed."	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"59"	"0.800000011920929"	"45-54"	"M"	"Graduate degree"	"France"	"Expert"	"Advanced beginner"	"Government, Public Sector"	"Interministerial Digital Directorate France"	"https://www.numerique.gouv.fr"	"Often"	"No"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"60"	"0.899999976158142"	"35-44"	"Male"	"Professional degree"	"Italy"	"Proficient"	"Proficient"	"Enterprise, Private Sector"	"GMS"	""	"Often"	"Yes"	"schema.org"	""	"Always"	"Much"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"61"	"0.899999976158142"	"65-74"	"Male"	"Undergraduate degree"	"United States of America"	"Novice"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"62"	"0.899999976158142"	"35-44"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"63"	"0.899999976158142"	"55-64"	"Male"	"Graduate degree"	"Australia"	"Novice"	"Proficient"	"Enterprise, Private Sector"	"Web Site Advantage"	"https://websiteadvantage.com.au/"	"Never"	"Yes"	"json-ld, schema.org, html meta tags (OG, Twitter, Facebook)"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"64"	"0.899999976158142"	"35-44"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"65"	"0.899999976158142"	"35-44"	"M"	"Professional degree"	"Netherlands"	"Expert"	"Proficient"	"Academia"	"Wageningen University "	"WUR.nl"	"Often"	"No"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"66"	"0.899999976158142"	"25-34"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"67"	"0.899999976158142"	"25-34"	"male"	"Graduate degree"	"Netherlands"	"Expert"	"Proficient"	"Enterprise, Private Sector"	"Semmtech"	"www.semmtech.com"	"Always"	"Yes"	"Entire Linked Data stack, industry standards (architecture, engineering, construction)"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"68"	"0.699999988079071"	"45-54"	"None"	"Professional degree"	"Germany"	"Advanced beginner"	"Proficient"	"Academia"	"Not necessary"	"notnecessary.com"	"Often"	"Yes"	"schema.org, DCAT, ontologies"	"I do not know DDI. Schema.org works fine at general level for us. Ontologies for domain-specific knowledge"	"Often"	"Much"	"Rarely"	"r3data, zenodo, kaggle"	"Very familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Often"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"69"	"0.899999976158142"	"25-34"	"Male"	"Professional degree"	"Spain"	"Proficient"	"Proficient"	"Academia"	"Ontology Engineering Group"	"https://oeg.fi.upm.es/"	"Often"	"Yes"	"DCAT, Void, DublinCore, "	""	"Often"	"All"	"Never"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"70"	""	"55-64"	"male"	"Graduate degree"	"Ireland"	"Expert"	"Expert"	"Academia"	"University College Dublin"	"ucd.ie"	"Often"	"Yes"	"DCAT, ISO19115-1, DC, FOAF, DPV,"	"validation tools, visualization tools, publication tools, metadata harvesting tools, workdflow tools with embedded metadata generation and management"	"Often"	"Much"	"Often"	"prefix.cc, https://interoperable-europe.ec.europa.eu/collection/semic-support-centre, w3c, semantic web conferences and mailing lists, go-fair.org, fairchecker, foops"	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"71"	"0.899999976158142"	"35-44"	"m"	"Graduate degree"	"Belgium"	"Proficient"	"Expert"	"Enterprise, Private Sector"	""	""	"Often"	"Yes"	"DCAT, PROV-O"	"Time and budget"	"Always"	"Much"	"Rarely"	""	"Very familiar"	"Somewhat familiar"	"Somewhat familiar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	""	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"72"	"0.899999976158142"	"35-44"	"female"	"Graduate degree"	"United States of America"	"Proficient"	"Proficient"	"Enterprise, Private Sector"	"Tetra Tech"	"Tetratech.com"	"Often"	"Yes"	"ISO 19115"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"73"	"0.899999976158142"	"45-54"	""	"Graduate degree"	""	"Advanced beginner"	"Advanced beginner"	"Government, Public Sector"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"74"	"0.800000011920929"	"45-54"	""	"Graduate degree"	""	"Advanced beginner"	"Novice"	"Government, Public Sector"	""	""	"Rarely"	"Yes"	""	""	"Rarely"	"Little"	"Rarely"	""	"Somewhat familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Somewhat agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"75"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"76"	"0.899999976158142"	"25-34"	"Male"	"Graduate degree"	"Belgium"	"Expert"	"Proficient"	"Enterprise, Private Sector"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"77"	"0.899999976158142"	"45-54"	"female"	"Graduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Proficient"	"Proficient"	"Academia"	"EMBL-EBI"	"https://www.ebi.ac.uk/"	"Always"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"78"	"0.899999976158142"	"45-54"	"Male"	"Graduate degree"	"Canada"	"Expert"	"Proficient"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"79"	"0.899999976158142"	"35-44"	""	"Graduate degree"	"Canada"	"Advanced beginner"	"Proficient"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"80"	"0.699999988079071"	"35-44"	"woman"	"Graduate degree"	"Canada"	"Proficient"	"Advanced beginner"	"Non-Governmental Organization (NGO)"	"Digital Research Alliance of Canada"	"https://alliancecan.ca/en"	"Often"	"Yes"	"Dublin Core"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"81"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"82"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"83"	"0.100000001490116"	"45-54"	"Male"	"Secondary Diploma or Equivalent"	"France"	"Proficient"	"Proficient"	"Government, Public Sector"	"Insee"	"www.insee.fr"	"Often"	"Yes"	"DDI, DCAT, SKOS/XKOS, SDMX,..."	"User friendly metadata editor"	"Rarely"	"Unsure"	"Often"	""	"Very unfamiliar"	"Somewhat familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	""	""	"Somewhat agree"	"Somewhat agree"	""	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	""	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Little"	"CSV,RDF,Other (please specify)"	"Parquet"	"Often"	"Rarely"	"Often"	"Often"	"Often"	"Always"	"Very important"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	""	""	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"OpenData.gouv.fr"	"Providing metadata for some Data for the french OpenData plateform"	"Several years ago"	"ongoing"	"Law conformity"	"Difficult"	"DCAT and SDMX mainly"	""	"Metadata tools are often very oriented for expert usage"	"IA usage without cautious"	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"84"	"0.899999976158142"	"45-54"	"male"	"Undergraduate degree"	"Canada"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"85"	""	"45-54"	""	"Graduate degree"	"Germany"	"Expert"	"Expert"	"Government, Public Sector"	"hbz"	"hbz-nrw.de"	"Often"	"Yes"	"RDF\nwell known vocabulary\nJSON-LD"	""	"Often"	"Much"	"Never"	"e.g. w3c lists"	"Very familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very familiar"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Very Good"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Often"	"Often"	"lobid.org/resources"	"providing services"	"java; bash"	"RDF; JSON-LD; APIs"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	"CSV,RDF"	""	"Rarely"	"Often"	"Often"	"Never"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"metafacture.org"	"https://metafacture.org/"	"2010"	"ongoing"	"providing a useful tool"	"usability for inhouse Open Data production and also the amount of external users (e.g. by executing workshops) "	"SRU; RDF; APIs; .... "	"To also provide Open Data"	"there are some in tools and thus we close them by enhancing those tools"	"Atm it's the AI crawling the web and render it in part useless"	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"86"	"0.800000011920929"	"25-34"	"female"	"Professional degree"	"India"	"Proficient"	"Advanced beginner"	"Academia"	"University of Delhi"	"https://www.du.ac.in/"	"Rarely"	"No"	""	""	"Often"	"Unsure"	"Often"	"government open data, statistical data of nation provided by various ministries"	"Very unfamiliar"	"Somewhat familiar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Very familiar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Often"	"Never"	"https://www.data.gov.in/"	"to understand the state of open data for different states of my country"	"none"	"no idea"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Little"	"Other (please specify)"	"xls"	"Rarely"	"Never"	"Never"	"Rarely"	"Rarely"	"Rarely"	"Somewhat important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"none"	"na"	"not speified"	"not specified"	""	""	""	""	""	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"87"	"0.899999976158142"	"35-44"	"Female"	"Professional degree"	"South Africa"	"Expert"	"Proficient"	"Academia"	"University of Cape Town Libraries"	"https://lib.uct.ac.za/"	"Always"	"Yes"	"Dublin Core"	"Financial constraints"	"Always"	"Much"	"Rarely"	"Figshare, Community of Practices in HEI"	"Somewhat unfamiliar"	"Very familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"User"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Often"	"Rarely"	"https://ourworldindata.org/"	"To reference how other people collect, analyse and publish their data"	"SQL, Python, ChatGPT"	""	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"The delayed participation of academics in support of Open Science and Open Data suggests that there is more work to be done in terms of policies and tools to support open data and that roadshows aren't enough and more success stories need to be shared to spread awareness, gain traction and increase participation"	"Is there a way to peer review the data and what consequences are there should a person contravene data quality standards"	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"88"	"0.899999976158142"	"55-64"	"Male"	"Graduate degree"	"United States of America"	"Expert"	"Advanced beginner"	"Government, Public Sector"	"NASA GES DISC "	"https://disc.gsfc.nasa.gov/"	"Always"	"Yes"	"https://www.earthdata.nasa.gov/engage/data-producer-resources/data-product-development-standards"	"https://www.earthdata.nasa.gov/engage/data-producer-resources"	"Always"	"All"	"Often"	"https://search.earthdata.nasa.gov/search"	"Very unfamiliar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Always"	"Rarely"	"https://search.earthdata.nasa.gov/search"	"Research and applications"	"None, I use online tools."	"NASA data framework"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Much"	"Other (please specify)"	"netcdf"	"Rarely"	"Rarely"	"Rarely"	"Always"	"Always"	"Always"	"Very important"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"NASA GPM and GPCP projects"	"https://gpm.nasa.gov/"	"~2000"	"Ongoing"	"Data to be used by everyone."	"Data access metrics and publications"	"https://giovanni.gsfc.nasa.gov/giovanni/"	"Standards, standards, and standards (beginning from data producers) and easy to use tools for the producers."	"The lack of supporting resources and infrastructures for all related parties."	"The lack of funding and resources"	"Politicians in some major countries don't think climate change exists, which is a root cause for many, many things."	"Yes, I confirm that I want to participate - please submit my responses"	""
"89"	"0.800000011920929"	"45-54"	"female"	"Graduate degree"	"United States of America"	"Advanced beginner"	"Proficient"	"Academia"	"University of Nevada, Las Vegas University Libraries"	"https://www.library.unlv.edu/"	"Often"	"Yes"	"RDF, FAST, LCSH, Geonames, TGM, NACO, SPARQL"	"workshops and application profiles"	"Often"	"Much"	"Rarely"	"City of Las Vegas Open Data Portal, Wikidata, Open Data, Sunlight Foundation"	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"CSV,RDF,Other (please specify)"	"SPARLQ endpoint"	"Often"	"Rarely"	"Rarely"	"Rarely"	"Often"	"Often"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"LGBTQ Las Vegas Sprint"	"https://www.wikidata.org/wiki/Wikidata:WikiProject_PCC_Wikidata_Pilot/UNLV"	"2022"	"ongoing"	"Make data available and increase use of materials"	"use statistics and new links new entries, new connections, being asked to digitize more materials"	"Wikidata, Wikiframe, SPARQL, RDF, local application profile, "	"go for it!"	""	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"90"	"0.899999976158142"	"65-74"	"masculino"	"Graduate degree"	"Portugal"	"Novice"	"Novice"	"Academia"	"Universidade de Coimbra"	"http://www.uc.pt"	"Often"	"Yes"	"Dublin Core"	"Não sei informar"	"Always"	"Unsure"	"Rarely"	"Europeana"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Often"	"Often"	"wikidata"	"pouca disponibilidade de imagens de pessoas históricas, objetos etc, de acesso proprietário"	"SPARQL"	"Wikidata"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Little"	"RDF"	""	"Never"	"Never"	"Often"	"Never"	"Often"	"Often"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Historical scientific instruments for teaching physics"	"The project is based on the implementation of a conceptual model that gathers information from the Web related to collections of historical scientific instruments, and promotes the interoperability of open databases, such as Wikidata. This approach aims to organize complex information to make it readable and interpretable by humans and automated systems. The study integrates interdisciplinary knowledge of history of science, material culture, museology, information systems and digital curation. It seeks to contribute to a semantic representation of scientific collections, strengthening their usefulness for teaching and research."	"2022"	"Running\"	"to provide insights into reliable, open and accessible scientific instruments"	"Not evalu"	"WikiData"	"x"	"x"	"x"	"x"	"Yes, I confirm that I want to participate - please submit my responses"	""
"91"	""	"45-54"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"92"	"0.899999976158142"	"25-34"	"male"	"Graduate degree"	"Côte d'Ivoire"	"Advanced beginner"	"Novice"	"Non-Governmental Organization (NGO)"	"Wikimedia foundation "	"https://wikimediafoundation.org"	"Always"	"Yes"	"Les respects des droits d'auteurs , la neutralité, l'impartialité sur les sujets "	"des outils techniques et spécifiques "	"Often"	"All"	"Often"	"sites web, telle les presses écrites , les presses en ligne  "	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"User"	"Little"	"Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Often"	"abidjan.net"	"avoir des informations de fa4on libre "	"Http"	"libre"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"parfois problèmes de crédibilité "	"utilisation des informations à des fins inadéquates "	"non"	"Yes, I confirm that I want to participate - please submit my responses"	""
"93"	"0.899999976158142"	"75 or older"	"Male"	"Professional degree"	"Brazil"	"Proficient"	"Novice"	"Academia"	"University of São Paulo "	"https://www5.usp.br/#english"	"Often"	"No"	""	"Ideas for discussion topics for the DDI Alliance Meeting of the Scientific Community"	"Often"	"Much"	"Never"	"1) United Nations Convention to Combat Desertification, Science-Policy Interface, Committee Member, Bonn, Germany: https://www.unccd.int/science/former-spi-members/andre-francisco-pilon\n2) The Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES): https://ipbes.net/users/afpilon \n3) International Academy of Science, Health & Ecology, Correspondent Member, Innsbruck, Austria: https://wiki.sustainablejustcities.eu/International_academy_of_science,_health_and_ecology\n4) CIVICUS World Alliance for Citizen Participation, Johannesburg, South Africa,: http://civicus.org; \n 5) EuroScience, Strasbourg, France: http://www.euroscience.org/;\n 6) IUHPE: www.iuhpe.org; \n 7) WSSCC: http://wsscc.org;\n 8) Center for Research and Documentation on Healthy Cities www.cidadessaudaveis.org.br; \n 9) International Association for the Study of the Commons: https://www.iasc-commons.org/ext-publications-pilon/;\n10) Global Alliance for the Rights of Nature https://www.garnlatinamerica.org/hubs/\n11) IUCN Commission on Environmental, Economic and Social Policy, Gland, Switzerland: https://www.iucn.org/commissions/commission-environmental-economic-and-social-policy\n12) Muck Rack Journalism Platform: https://muckrack.com/andre-francisco-pilon\n13)  Global Land Programme: https://glp.earth/users/andr%C3%A9-francisco-pilon\n14) Global Sustainable Futures: Progress Through Partnerships: https://gsfn.co.uk/contact-us/\n15) Sydney Environment Institute member: https://sei.sydney.edu.au/\n16) Global Forum on Food Security and Nutrition (FSN Forum): https://www.fao.org/fsnforum/member/andre-francisco-pilon?check_logged_in=1\n17) NORRAG Network   https://sum-app.net/members/PA2dNROgbYIjBYsQ1p5D8w/bio\n19) Global Bildung Network:  https://network.globalbildung.net/about   \n20) Global Sustainable Futures – Progress through Partnerships: \n21) International Society for Development and Sustainability (ISDS): https://isdsnet.com/ijds-aims.html\n22) Association for Advancing Participatory Sciences. https://participatorysciences.org/\n23) Global Forum on Food Security and Nutrition (FSN Forum): https://www.fao.org/fsnforum/member/andre-francisco-pilon?check_logged_in=1\n"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"User"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Never"	"Never"	""	"There is a dissonance between the legal framework, international conventions and the practices of political and economic groups that endorse the abuse of nature, devastating huge areas through logging, mining, industrial chemical production and industrial agriculture, notorious culprits of the severe environmental problems that plague the world. Communication, advocacy, public policies, research and teaching programs should take in account the general phenomenon in view of the transformation of the dominant paradigms of development, growth, wealth, power and freedom embedded at political, economic, educational and cultural levels. The interface between science and policy becomes critical against the backdrop of the growing complexities and interconnectedness of geopolitical, technological and socioeconomic contexts as it allows co-creation, exchange, and synthesis of knowledge to enable policy development and decision-making. The focus should not be on the “bubbles” of the surface (problems on their own), but on the configurations deep inside the “boiling pot” where the problems emerge. Instead of dealing with the bubbles (segmented, reduced issues) and trying to solve isolated and localized problems without addressing the general phenomenon, problems should be defined and dealt with deep inside the “boiling pot”, encompassing the current “world-system” with its boundaries, structures, techno-economic paradigms, support groups, rules of legitimization, and coherence. The ecosystem approach to communication, advocacy, public policies, research and teaching programs takes in account the general phenomenon in view of the transformation of the dominant paradigms of development, growth, wealth, power and freedom embedded at political, economic, educational and cultural levels. Pilon, A. F. (2023, 2024) enlightens that Earth’s regeneration and mankind’s regeneration, as faces of the same coin, should be addressed simultaneously, for their mutual support, in view of all dimensions of being in the world: intimate, interactive, social and biophysical.“The top global environmental problems are not biodiversity loss, ecosystem collapse and climate change; the top global environmental problems are selfishness, greed and apathy, we need a spiritual and cultural transformation, and scientists do not know how to do that\" (Speth, J. G., 2013). Villagran, H. L. (2022) reminds that “all major responsibilities to, supposedly, solve those challenging disruptions, are given to the private sector as a savior to solve the myriad of problems created by itself, and are ready to convey science-based “fairy-tails”, wishful thinking futures, technology-based magic thinking, and explicit and implicit denialism”. O'Mahony, T. (2022) remonstrates that “the system is embedded and entrenched in the intertwined structures of power in society, in institutions, politics and mindsets; think tanks and lobbies for vested interests have engaged political and institutional structures, hiding problems and solutions”. Earth’s regeneration and mankind’s regeneration, as faces of the same coin, should be addressed simultaneously, for their mutual support. Goals and new paths to reach them should contemplate a set of values, norms and policies that prioritizes socio-ecological objectives, human well-being, natural and built environments, the aesthetic, ethical and cultural meaning of life.\nReferences:  \nO’MAHONY, T. (2022). Towards Sustainable Wellbeing: Advances in Contemporary Concepts. Frontiers in Sustainability. 3: 807984: https://doi.org/10.3389/frsus.2022.807984\nPILON, A. F. (2023). Reframing Relationships between Humans and the Earth: The \"Anthropocene\", a New Ideology to Justify the Status Quo? MPRA Munich Personal RePEc Archive: https://mpra.ub.uni-muenchen.de/119041/1/MPRA_paper_119041.pdf\nPILON, A. F. (2024). \"The Party of the Dead\": a Tale that Repeats Itself, MPRA Munich Personal RePEc Archive:\nhttps://mpra.ub.uni-muenchen.de/121869/1/MPRA_paper_121869.pdf\nPILON, A. F. (2024). The Bubbles or the Boiling Water? A Course on Environmental Capacity Building [ppt presentation] Researchgate:\nhttps://www.researchgate.net/publication/381996602_The_Bubbles_or_the_Boiling_Water_A_Course_on_Environmental_Capacity_Building\nSPETH, J. G. (2013). Shared Planet: Religion and Nature, BBC Radio 4 (1 Oct. 2013)\nVILLAGRAN i, H. L. (2022) On the Private Sector Driven Outer Space Agenda, Open Letter to the United Nations Office for Outer Space Affairs: https://www.academia.edu/92732048/UN_Office_for_Outer_Space_Affairs_On_the_Private_Sector_Driven_Outer_Space_Agenda_Pending_Critical_Questions_and_Actions_WSF2022_\n \n\n\n"	"Top Programming Languages for Specific Domains"	"Web development frameworks"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"There is a dissonance between the legal framework, international conventions and the practices of political and economic groups that endorse the abuse of nature, devastating huge areas through logging, mining, industrial chemical production and industrial agriculture, notorious culprits of the severe environmental problems that plague the world. Communication, advocacy, public policies, research and teaching programs should take in account the general phenomenon in view of the transformation of the dominant paradigms of development, growth, wealth, power and freedom embedded at political, economic, educational and cultural levels. The interface between science and policy becomes critical against the backdrop of the growing complexities and interconnectedness of geopolitical, technological and socioeconomic contexts as it allows co-creation, exchange, and synthesis of knowledge to enable policy development and decision-making. The focus should not be on the “bubbles” of the surface (problems on their own), but on the configurations deep inside the “boiling pot” where the problems emerge. Instead of dealing with the bubbles (segmented, reduced issues) and trying to solve isolated and localized problems without addressing the general phenomenon, problems should be defined and dealt with deep inside the “boiling pot”, encompassing the current “world-system” with its boundaries, structures, techno-economic paradigms, support groups, rules of legitimization, and coherence. The ecosystem approach to communication, advocacy, public policies, research and teaching programs takes in account the general phenomenon in view of the transformation of the dominant paradigms of development, growth, wealth, power and freedom embedded at political, economic, educational and cultural levels. Pilon, A. F. (2023, 2024) enlightens that Earth’s regeneration and mankind’s regeneration, as faces of the same coin, should be addressed simultaneously, for their mutual support, in view of all dimensions of being in the world: intimate, interactive, social and biophysical.“The top global environmental problems are not biodiversity loss, ecosystem collapse and climate change; the top global environmental problems are selfishness, greed and apathy, we need a spiritual and cultural transformation, and scientists do not know how to do that\" (Speth, J. G., 2013). Villagran, H. L. (2022) reminds that “all major responsibilities to, supposedly, solve those challenging disruptions, are given to the private sector as a savior to solve the myriad of problems created by itself, and are ready to convey science-based “fairy-tails”, wishful thinking futures, technology-based magic thinking, and explicit and implicit denialism”. O'Mahony, T. (2022) remonstrates that “the system is embedded and entrenched in the intertwined structures of power in society, in institutions, politics and mindsets; think tanks and lobbies for vested interests have engaged political and institutional structures, hiding problems and solutions”. Earth’s regeneration and mankind’s regeneration, as faces of the same coin, should be addressed simultaneously, for their mutual support. Goals and new paths to reach them should contemplate a set of values, norms and policies that prioritizes socio-ecological objectives, human well-being, natural and built environments, the aesthetic, ethical and cultural meaning of life.\nReferences:  \nO’MAHONY, T. (2022). Towards Sustainable Wellbeing: Advances in Contemporary Concepts. Frontiers in Sustainability. 3: 807984: https://doi.org/10.3389/frsus.2022.807984\nPILON, A. F. (2023). Reframing Relationships between Humans and the Earth: The \"Anthropocene\", a New Ideology to Justify the Status Quo? MPRA Munich Personal RePEc Archive: https://mpra.ub.uni-muenchen.de/119041/1/MPRA_paper_119041.pdf\nPILON, A. F. (2024). \"The Party of the Dead\": a Tale that Repeats Itself, MPRA Munich Personal RePEc Archive:\nhttps://mpra.ub.uni-muenchen.de/121869/1/MPRA_paper_121869.pdf\nPILON, A. F. (2024). The Bubbles or the Boiling Water? A Course on Environmental Capacity Building [ppt presentation] Researchgate:\nhttps://www.researchgate.net/publication/381996602_The_Bubbles_or_the_Boiling_Water_A_Course_on_Environmental_Capacity_Building\nSPETH, J. G. (2013). Shared Planet: Religion and Nature, BBC Radio 4 (1 Oct. 2013)\nVILLAGRAN i, H. L. (2022) On the Private Sector Driven Outer Space Agenda, Open Letter to the United Nations Office for Outer Space Affairs: https://www.academia.edu/92732048/UN_Office_for_Outer_Space_Affairs_On_the_Private_Sector_Driven_Outer_Space_Agenda_Pending_Critical_Questions_and_Actions_WSF2022_\n \n\n\n"	"No threats."	"To increase support for new and existing climate-related policies and initiatives, and to ensure that the fundamental human right to public participation is protected; public and private actors are better involved when citizens are given opportunities to exercise their right to public participation. This would also promote transparency and accountability in the decision-making process and create a more engaged citizenry and inclusive society. At the heart of the problem is poor communication between citizens and state actors, which has resulted in a lack of support from the public for the state’s climate policy formulation and implementation processes. To ensure that the fundamental human right to public participation is protected, it is necessary a concerted effort to engage with the public during the policy formulation, introduction, application and monitoring phases. This would ensure that all actors are better informed about the concerns of the public and that, when promoting decision-making in climate-related policies, citizens are given opportunities to exercise their right to public participation. It would also promote transparency and accountability in the decision-making process and create a more engaged citizenry and inclusive society. However, it may be necessary to rethink and re-frame existing public participatory processes in order to encourage closer cooperation between all stakeholders involved in political, economic, social and cultural decision-making processes related to the serious effects of environmental crises and climate change in today's world. According the recommendations of the Earth System Governance Project, it is necessary to explore the following questions: How to assess the institutional, political and social context in view of comparative research and meta-analyses to reveal general patterns and trends that vary by context? What are the research topics and questions where the accumulation of knowledge would be particularly fruitful in terms of scientific progress and/or impact on policy and governance? What comparative research, systematic reviews and meta-analyses exist? Which research results are in fact (not) taken up by policy makers, and why (not)? How to develop and use a basic terminology that is widely shared, but nevertheless open to reinterpretations and new concepts? How to coordinate collaborations such as common dictionaries or shared databases? How might the Science-Policy Interface community influence the policies of journals and funding agencies ? How to deal with communication, advocacy, public policies, research and teaching programs in view of research integrity?"	"Yes, I confirm that I want to participate - please submit my responses"	""
"94"	"0.899999976158142"	"45-54"	"Male"	"Professional degree"	"Germany"	"Proficient"	"Advanced beginner"	"Academia"	" TIB – Leibniz Information Centre for Science and Technology and University Library "	"https://www.tib.eu/en/"	"Always"	"Yes"	"OAI Dublin Core, MARC XML, RDF XML"	""	"Rarely"	"Much"	"Never"	""	"Somewhat familiar"	"Somewhat familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Little"	"RDF,Other (please specify)"	"JSON-Lines, OAI Dublin Core, MARC XML"	"Rarely"	"Never"	"Often"	"Never"	"Rarely"	"Never"	"Somewhat important"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Open data export of TIB AV-Portal metadata"	"https://av.tib.eu/opendata"	"01-2025"	"ongoing"	"TIB aims to facilitate access to its knowledge and enable new usage possibilities by providing open, structured (semantic) metadata — for both humans and machines."	""	"MarcEdit; DCMI Metadata Terms, Schema.org, Gemeinsame Normdatei (GND), ISO 639-2; OAI Dublin Core, MARC XML, RDF XML, RDF Turtle, JSON-Lines    "	""	""	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"95"	"0.800000011920929"	"35-44"	"non-binary"	"Graduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Proficient"	"Novice"	"Academia"	"University of Manchester"	"https://www.google.co.uk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwivsYTb5PqMAxWOWEEAHWWPANkQFnoECAwQAQ&url=https%3A%2F%2Fwww.manchester.ac.uk%2F&usg=AOvVaw1veY0fA6SI3gM7AraLkrJG&opi=89978449"	"Often"	"No"	""	"Training and clear guidance"	"Often"	"Much"	"Often"	"I cannot possibly list them all. Most of the work I do is with spontaneously collected data (web-scraping, text-mining, etc.). I then store the data on github, along with the code I use to work with it, when I can. \n\nSo the data is technically open since it is freely available to those who can access it, and the code I use is also freely available (with the data where possible) on my github repo. "	"Very unfamiliar"	"Very familiar"	"Somewhat familiar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Often"	"Rarely"	"kaggle"	"I use non-personal data for instruction purposes"	"python"	"I am trying to create some metadata standards for synthetic data\nhttps://www.google.co.uk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwjxjpLC5vqMAxWDUUEAHdFaNBQQFnoECBoQAQ&url=https%3A%2F%2Fzenodo.org%2Frecords%2F14887525&usg=AOvVaw34MM3WzoHb6LDALts0GpmQ&opi=89978449"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Much"	"CSV"	""	"Rarely"	"Rarely"	"Often"	"Often"	"Often"	"Rarely"	"Somewhat important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Balancing the Data Scales: A Cost-Benefit Analysis of Low-Fidelity Synthetic Data for Data Owners and Providers"	"https://ukdataservice.ac.uk/2025/04/15/uk-data-service-completes-project-on-the-costs-and-benefits-of-synthetic-data/#:~:text=We%20are%20delighted%20to%20announce,Trusted%20Research%20Environments%20(TREs)."	"April 2024"	"Technically, just ended. Final presentation workshop is in May. "	"To provide a way for others to create open data with semantic metadata"	"Will be evaluated using feedback in upcoming workshop"	"unclear how to answer since part of it was contributing to new standards for metadata"	"document everything. Write your project in jupyter notebook (or other executable code platform) so that others can use it accurately. "	"People really don't think carefully about or document what they did or why throughout the project, meaning that reflecting at the end produces bad documentation. "	"Access. It is very hard to find and access open data. I tried to get open access air quality data and had to design the query based on what was available to download BEFORE i knew what was available to download. Madness. "	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"96"	"0.899999976158142"	"45-54"	"M"	"Graduate degree"	"United States of America"	"Expert"	"Proficient"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Always"	"Much"	"Often"	"ARIES network (https://aries.integratedmodelling.org/)"	"Very familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Often"	"data.gov"	"Environmental-economic accounting and underlying modeling"	"Multiple - I'm often directing staff to access these data, using languages including Python, R, GEE, and ideally machine-actionable resources like STAC or WCS"	""	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Little"	"Other (please specify)"	"Raster data, ideally in cloud-optimized formats (e.g., STAC/COG)"	"Rarely"	"Never"	"Never"	"Rarely"	"Always"	"Often"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"ARIES (https://aries.integratedmodelling.org/)"	"https://aries.integratedmodelling.org/; provide semantically interoperable, mutidisciplinary data and models underpinned by machine reasoning to automate assembly of complex scientific tasks."	"2007"	"Ongoing"	"Enable semantically interoperable data reuse to support consistent, transparent environmental-economic reporting"	"Adoption by the wider international scientific and user communities"	"Novel approaches, given the lack of standards for accomplishing project goals."	"Don't reinvent the wheel; find and reuse appropriate semantics. Make data and models machine actionable."	"Data are too often F, A, and R, but I is difficult. This is particularly true for interdisciplinary science. Data are often open, but not machine-actionable."	"Coming from the U.S., withdrawal of public data and support for open science."	"For more on our approaches and context of our work on semantic interoperability, see https://environmentalevidencejournal.biomedcentral.com/articles/10.1186/s13750-022-00258-y, https://www.sciencedirect.com/science/article/pii/S2212041625000099?via%3Dihub"	"Yes, I confirm that I want to participate - please submit my responses"	""
"97"	"0.899999976158142"	"65-74"	"Female"	"Secondary Diploma or Equivalent"	"United States of America"	"Advanced beginner"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Often"	"Much"	"Rarely"	"Wikidata, Scholia, VIAF, Kulturnav, Getty vocabularies, wikidata and Wikicite Telegram groups"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"User"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Rarely"	"Rarely"	"Wikidata"	"Editing Wikidata"	"N/A"	""	"Strongly agree"	"Strongly agree"	"Strongly agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Too many cultural organizations do not provide open data at all."	"AI, and I don’t know."	"Nothing else."	"Yes, I confirm that I want to participate - please submit my responses"	""
"98"	"0.899999976158142"	"65-74"	"Man"	"Professional degree"	"Spain"	"Expert"	"Expert"	"Non-Governmental Organization (NGO)"	"Fundación Ignacio Larramendi "	"www.larramendi.es"	"Always"	"Yes"	"Europeana data model"	"No"	"Always"	"All"	"Often"	"Europeana "	"Very familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Often"	"Wikidata"	"Transferencia "	"Varius"	"RDF"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	"RDF"	""	"Often"	"Rarely"	"Often"	"Rarely"	"Often"	"Often"	"Very important"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Larramendi "	"www.larramendi.es"	"2025"	"Ongoing"	"Visibilidad "	"Google análisis "	"Europeana data model "	"Wholes"	"Marketing "	"No"	"No"	"Yes, I confirm that I want to participate - please submit my responses"	""
"99"	"0.899999976158142"	"45-54"	"Female"	"Graduate degree"	"Netherlands"	"Expert"	"Advanced beginner"	"Non-Governmental Organization (NGO)"	"Network Archives Design and Digital Culture "	"https://nieuweinstituut.nl/projects/nadd"	"Always"	"No"	""	"Implementation must be extremely affordable and resilient. We need our data to stay available and accessible even if our network and members cease operations. This is why we use Wikidata "	"Always"	"Much"	"Often"	"The Wikimedia and Wikidata communities and their variety of channels, platforms and formal organizations \nNetwerk Digitaal Erfgoed \n"	"Very familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”)"	"Good"	"Somewhat disagree"	"Strongly disagree"	"Strongly disagree"	"Often"	"Always"	"Wikidata "	"Its commons-based model helps with resilience, improves data quality through crowdsourcing. It is broadly used which helps to find support with common tasks like import, querying, visualisation. It has a very broad scope and coverage "	"Preferably none, to make said access possible by the less privileged. SPARQL "	"?"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"All"	"Other (please specify)"	"As we use Wikidata: all of the above, basically all formats supported by the Wikidata API and SPARQL endpoint "	"Often"	"Often"	"Always"	"Always"	"Always"	"Always"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"NADD Wikidata project "	"https://www.wikidata.org/wiki/Wikidata:CopyClear/NADD"	"2023"	"Ongoing"	"Create resilient open data for our network with persistent identifiers, engaging communities as broadly as possible to contribute to and improve the data "	"It is ongoing. We are doing a lot of work with a small team and budget. We track progress in data quality and coverage in various dashboards "	"Wikidata and its associated suite of tools, SPARQL endpoint, and its links and mapping to other authority control resources "	"Consider ongoing costs and develop plans that assure your data will remain accessible and maintained even if funding stops and organizational structures change "	"The focus should be much more on ease of use, affordability, persistence and resilience of the data we publish "	"Short term thinking. Funding ends, data disapears, platform and project is abandoned. We can mitigate by contributing to commons based resources with active community with critical mass "	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"100"	"0.899999976158142"	"35-44"	"Male"	"Graduate degree"	"France"	"Expert"	"Proficient"	"Academia"	"Toulouse School of Economics"	"https://www.tse-fr.eu/fr"	"Often"	"No"	""	""	"Always"	"Much"	"Rarely"	"http://www.progedo-adisp.fr/"	"Very unfamiliar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Often"	"Often"	"http://www.progedo-adisp.fr/"	"Research"	"Stata"	"DDI"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Much"	"CSV"	""	"Rarely"	"Never"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Somewhat important"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"TRF-GIS"	"https://dataverse.harvard.edu/dataverse/TRF-GIS/"	"2021"	"2023"	""	"Reuse"	"DDI"	""	""	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"101"	"0.600000023841858"	"45-54"	""	"Secondary Diploma or Equivalent"	"France"	"Proficient"	"Advanced beginner"	"Academia"	""	""	"Often"	"No"	""	"huma-num; opidor; urfist; mission science ouverte ; openedition"	"Often"	"Much"	"Rarely"	"quételet progedo ; be-quali; data.gouv.fr, archives de la depp, data.education.gouv.fr,  calames, Archives Henri Poincaré-Prest ; european social survey ; Elfe ; Neps ; Eldeq ; centre for longitudinal studies ; "	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Very Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Rarely"	"Rarely"	"data.education.gouv.fr"	"make compilations for specific territories less represent in publications. Have informations in a temporal perspective"	"natural language"	"ddi"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	"CSV,Other (please specify)"	"pdf"	"Often"	"Rarely"	"Often"	"Rarely"	"Often"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"longitudinal self esteem of children according to gender and disability's situation"	"L’estime de soi est une évaluation de soi correspondant au degré de satisfaction que le sujet s’attribue en rapport avec ses relations interpersonnelles et son environnement (Barbot et al, 2019; Rambaud, 2009). Elle se construit au fur et à mesure du développement de l’individu dans ses différents milieux de vie et de socialisation et ce, en interrelation avec les caractéristiques dont il est porteur ou considéré comme porteur (Chevallier-Rodrigues et Courtinat-Camps, 2021). Si les travaux relatifs à l’estime de soi se centrent généralement sur la période de l’adolescence (Poussin et Sordes-Ader, 2005), cette contribution porte sur le début de sa construction entre 4 et 6 ans. L’environnement scolaire interagissant fortement avec le genre des élèves, en termes de socialisations (Duru-Bellat, 1994 ; Rouyer et al., 2014), et pouvant occasionner un effet dans le temps sur les compétences scolaires des filles et des garçons (Fischer et Thierry, 2022), prendre en compte cette variable dans ses combinaisons avec d’autres caractéristiques de l’environnement des enfants contribue à rendre compte de la complexité du développement. \nL’étude mobilise les données longitudinales collectées dans le cadre de la cohorte Elfe (Étude longitudinale française depuis l’enfance) qui suit, à intervalles réguliers depuis leur naissance en 2011 un échantillon national représentatif de 18000 enfants (Charles et al., 2019). Ce suivi pluridisciplinaire vise à mieux comprendre les effets de l'environnement sur le développement de l'enfant, sa santé, sa socialisation et son parcours scolaire. Dans notre étude, nous mobiliserons les enquêtes Elfe-école réalisées en milieu scolaire en 2016 et 2018, l’échantillon combiné des deux enquêtes concerne 4515 enfants (2259 filles et 2256 garçons). Le cahier d’épreuves adressé à l’enfant comprend au CP l'inventaire d'estime de soi (IMES). Le questionnaire rempli par l’enseignant de la classe de maternelle puis celui de CP intègre, en plus d’éléments sur l’environnement scolaire (REP, nombre d’élèves dans la classe…), des informations relatives aux aménagements scolaires ou à la perception de besoins particuliers de l’enfant par l’enseignant. Ces dernières sont complétées par des données collectées auprès des parents sur les entraves au quotidien vécues par leur enfant à différents âges ainsi que par des opérationnalisations administratives du handicap. Le genre est investigué à partir de la bi-catégorisation basée sur le sexe déclaré à la naissance et dans les enquêtes école. Cette mesure reste très largement opératoire en dépit des limites qu’elle présente.\nLes premiers résultats indiquent peu de différences au niveau global ou par sous-domaines entre filles et garçons quand la situation de handicap n’est pas prise en compte. Il y a un effet combiné du genre et du handicap : les vécus scolaires des filles en situation de handicap se distinguent à la fois de ceux de leurs homologues féminines sans besoin particulier mais aussi de ceux de leurs pairs masculins en situation de handicap. Notre ambition est de documenter et analyser de manière complexe le développement des enfants afin de pallier à la relative invisibilisation des effets croisés du handicap et du genre dans la littérature scientifique et professionnelle en psychologie et en éducation.\n"	"april 2024"	"ongoing"	"share informations, contribute to replicability"	""	"ddi"	"Time to read and understand the documentation; enough competencies to manipulate extraction with R ; pay enough attention to the respect of anonymat of participants and to variables which could contribute to social discriminations or to abusive reuse "	"Need of enough professionnals to maintain the knowledge and procedures about open data. Open data corresponding to several professional specialities so even if more standardization are involved, each speciality is important even if each thinks that their own part as more relevant to the others. It results a complexity for scientific providers whom need scientific ingeniors for examples to complete a team (> 9 peoples). One scientist may have difficulties to share her or his data. \nIA could be an opportunity to simplify re-use, but it not could remplace people with scientific backrgound whom pay attention to ethical considerations also technical and legal consideration."	"IA"	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"102"	"1"	"25-34"	"Female"	"Graduate degree"	"Canada"	"Expert"	"Proficient"	"Academia"	"University of Waterloo"	"https://uwaterloo.ca/"	"Often"	"Yes"	"Schema.org"	"Additional staff capacity and training"	"Often"	"Much"	"Often"	"RDAP, IASSIST, Dataverse community/list, Borealis/Dataverse community/list, Research-dataman, CANLIB-DATA, Data Curation Network, PIDs Forum, ORCID community, ICPSR"	"Somewhat unfamiliar"	"Very familiar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Often"	"Often"	""	""	""	""	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Much"	"CSV,Other (please specify)"	".txt, .rdata, JSON, XML, .png, other disciplinary specific formats"	"Often"	"Often"	"Often"	"Often"	"Often"	"Often"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Open Data for Dental Shape Variation"	"This project looks to create open data on the shape of rat teeth so that it can be included in other projects and used to aid in differentiating between species based on only dental remains. This open data will also contribute towards providing baseline results for using the methodology to identify previously unnamed species of rats based on dental remains. "	"2022"	"On-going"	"Making the data as reusable as possible across different disciplines. "	""	""	""	""	"There isn't enough time or incentive to create high-quality open data. The incentives from academia prioritize quantity over quality and with the current global situation of higher education does not lend itself well to allowing researchers time to produce high quality data. "	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"103"	"0.899999976158142"	"35-44"	"Male"	"Undergraduate degree"	"Kazakhstan"	"Advanced beginner"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Often"	"All"	"Often"	"Pew, WID, World Bank "	"Very unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"User"	"All"	"Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Rarely"	"Never"	"https://www.pewresearch.org/tools-and-datasets/"	"Research "	"R"	"SPSS "	"Strongly agree"	"Strongly agree"	"Strongly agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"I work with sociological data, there are no problems with them. But ingrda additional indicators are needed for a deeper immersion in the context, then data from other sources is difficult to fit into the original format."	"Lack of transparency in methodology. Some data from analytical centers distorts the data in a favorable direction."	"Need open data search guides for beginners"	"Yes, I confirm that I want to participate - please submit my responses"	""
"104"	"0.899999976158142"	"45-54"	"Female"	"Graduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Proficient"	"Proficient"	"Non-Governmental Organization (NGO)"	"Extractive Industries Transparency Initiative"	"eiti.org"	"Often"	"Yes"	"DCAT"	"n/a"	"Often"	"Much"	"Rarely"	"osgeo.org, github.com, geonetwork user group and developers, ckan user group, ODI, Open Ownership"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Rarely"	"Rarely"	"eiti.org"	"Checking and reviewing data, doing data analysis"	"Dax (Excel/PowerBI)"	"EITI standard"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Much"	"Other (please specify)"	"API"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Somewhat important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"EITI data publishing"	"https://eiti.org/how-we-collect-and-publish-eiti-summary-data"	"?"	"ongoing"	"Open data about extractive industries in EITI implementing countries"	"it's ongoing"	"EITI standard"	"Follow best practices and don't reinvent the wheel"	"Decent overviews across the whole ecosystem so that people starting out are aware that their use-case has been met elsewhere. Currently there are a lot of silos"	"This is a very leading question, but privacy is probably the biggest problem, and a lack of understanding that the benefits outweigh the negatives"	"I think a lot of your questions were missing a middle ground between (for example) \"mildly disagree\" and \"mildly agree\". There was no answer to reflect neutrality, which introduces some bias"	"Yes, I confirm that I want to participate - please submit my responses"	""
"105"	"0.899999976158142"	"18-24"	"Male"	"Graduate degree"	"Ukraine"	"Expert"	"Novice"	"Government, Public Sector"	"Bila Tserkva City Council"	"https://bc-rada.gov.ua"	"Often"	"Yes"	"ISO 8601, ISO 4217:2010, ISO 3166, etc."	"Presentation of DDI in city council and further discussion of its tools and adoption with working group."	"Always"	"Much"	"Often"	"Local open data portal: https://opendata-bc.gov.ua/dataset\nState open data portal: https://data.gov.ua"	"Very familiar"	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"CSV,Other (please specify)"	"XLSX, XML, JSON, GeoJSON, sometimes using API"	"Rarely"	"Never"	"Often"	"Rarely"	"Often"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Information portal of Bila Tserkva City Territorial Community (including maps, based on open datasets)"	"Information portal – everything about community in one place: public transport, public maps, useful links, etc."	"last year (2024)"	"ongoing"	"Creating applied datasets that are of public interest and using them in digital product"	"so far so good"	"."	"Don't be afraid of dreaming. Pay attention to the quality of your open datasets, because every digital solution has them in its core."	"I wish the structure of datasets was approved on national level in Ukraine. Because now we only have recommendations from the Ministry of Digital Transformation of Ukraine."	"cyberattacks and information leaks"	"The survey was comprehensive"	"Yes, I confirm that I want to participate - please submit my responses"	""
"106"	"0.699999988079071"	"35-44"	"Male"	"Graduate degree"	"Uzbekistan"	"Expert"	"Advanced beginner"	"Government, Public Sector"	"National Committee of the Republic of Uzbekistan on Statistics "	"stat.uz"	"Always"	"Yes"	"IMF Metadata Standard, SDMX"	"Capasity building, resource"	"Always"	"All"	"Often"	"Open Data Charter Implementation Working Group"	"Very familiar"	"Very unfamiliar"	"Very familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Often"	"Rarely"	"https://data.egov.uz/, siat.stat.uz"	"Monitoring"	"Stata"	"SDMX"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Much"	"CSV,RDF"	""	"Often"	"Often"	"Often"	"Often"	"Often"	"Often"	"Somewhat important"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"siat.stat.uz"	"https://siat.stat.uz/"	"2021"	"ongoing"	"data.egov.uz\n"	"https://odin.opendatawatch.com/Report/rankings"	"metadata"	"imroving quality of the open data and using more metadata"	"No answer"	"No answer"	"No"	"Yes, I confirm that I want to participate - please submit my responses"	""
"107"	"0.899999976158142"	"65-74"	"Male"	"Graduate degree"	"United States of America"	"Expert"	"Proficient"	"Academia"	"Columbia University"	"https://www.columbia.edu/"	"Often"	"Yes"	"FGDC, DataCite, Dublin Core"	"Tutorials, schemas, scripts for conversion"	"Always"	"Much"	"Often"	"IASSIST\nAGU"	"Somewhat familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"CSV"	""	"Rarely"	"Rarely"	"Rarely"	"Often"	"Rarely"	"Rarely"	"Somewhat important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"A"	"no"	"Recently"	"ongoing"	"Complete, correct, and efficient"	"Will it be finished?"	"Dublin Core"	"Assess options when making decisions"	"Need for convergence on tools and policies"	"Agreement on the definition of data quality"	"Thanks"	"Yes, I confirm that I want to participate - please submit my responses"	""
"108"	"0.899999976158142"	"35-44"	"male"	"Professional degree"	"Denmark"	"Expert"	"Proficient"	"Academia"	"Copenhagen University Library"	"https://kub.ku.dk/english/researchsupport/"	"Often"	"Yes"	"DDI, DC, OpenAIRE, schema.org"	"Dataverse"	"Always"	"Much"	"Rarely"	"Zenodo, Dataverse, Figshare, OSF, Dryad, GBIF, NCBI, etc.\nre3data, fairsharing.org\nGoogle Dataset Search, OpenAIRE Explore, DataCite Commons"	"Somewhat familiar"	"Very familiar"	"Somewhat familiar"	"Very unfamiliar"	"Very familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"Other (please specify)"	"I am service provider - we basically publish in whatever formats the researchers deposit their data.\nWe publish open metadata in all formats supported by Dataverse."	"Always"	"Rarely"	"Often"	"Often"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"DeiC Dataverse"	"https://dataverse.deic.dk/"	"2019"	"ongoing"	"implement and support FAIR principles for researchers at the University of Copenhagen"	"the repository is finally up and running with established support and curation - that is a great success"	"anything that is included in Dataverse"	"start with defining potential levels of access and reuse for all data and metadata"	"efficient anonymization is extremely challenging\ngeneral security concerns"	"missing incentives for producing FAIR and open data"	"For me, it is always important to communicate to researchers that data should be made FAIR according to a purpose."	"Yes, I confirm that I want to participate - please submit my responses"	""
"109"	"0.800000011920929"	"35-44"	"Male"	"Professional degree"	"India"	"Novice"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"110"	"0.699999988079071"	"55-64"	"Female"	"Professional degree"	"Fiji"	"Advanced beginner"	"Advanced beginner"	"Academia"	"University of Fiji"	"https://www.unifiji.ac.fj"	"Never"	"Yes"	"Planning stages of using Dublin Core for a digital collection"	"Documentation and Management of Research Data"	"Rarely"	"Little"	"Often"	"IFLA"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Rarely"	"Rarely"	"World Bank Open Data Source"	"For research queries/questions"	"Sometimes SQL otherwise the normal query keyword"	"Open Data Readiness Framework adherence to principles of good governance and rule of law"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Little"	"CSV"	""	"Rarely"	"Rarely"	"Never"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"111"	"0.400000005960465"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"112"	"0.699999988079071"	"35-44"	"Male"	"Post-secondary certificate"	"France"	"Proficient"	"Advanced beginner"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Often"	"Much"	"Rarely"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"113"	"0.699999988079071"	"75 or older"	"Female"	"Graduate degree"	"Australia"	"Proficient"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Always"	"Much"	"Rarely"	"Australian faunal directory\nAPNI\nGBIF\nIRMNG\nWIKIDATA\nAlgaebase\nZoobank\nZobodat\nEncyclopedia of Korean culture\nCultural heritage\nWDPA\nRAMSAR sites\nToo many to list "	"Very unfamiliar"	"Somewhat familiar"	"Somewhat familiar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"User"	"All"	"Provenance & Integrity (unchanged from a trusted source)"	"Good"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"114"	"0.699999988079071"	"25-34"	""	"Graduate degree"	"Nigeria"	"Advanced beginner"	"Novice"	"Non-Governmental Organization (NGO)"	"Igbo Wikimedians User group "	"Igbo Wikimedians User group "	"Always"	"Yes"	"Quality over quantity "	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"115"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"116"	"0.899999976158142"	"55-64"	"Female"	"Graduate degree"	"Australia"	"Advanced beginner"	"Advanced beginner"	"Non-Governmental Organization (NGO)"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"117"	"0.899999976158142"	"35-44"	""	"Secondary Diploma or Equivalent"	"Andorra"	"Expert"	"Proficient"	"Government, Public Sector"	""	""	"Always"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"118"	"0.899999976158142"	"25-34"	"Female "	"Graduate degree"	"Canada"	"Proficient"	"Proficient"	"Government, Public Sector"	"Treasury Board of Canada Secretariat"	"https://www.canada.ca/en/treasury-board-secretariat.html"	"Always"	"Yes"	"https://www.tbs-sct.canada.ca/pol/doc-eng.aspx?id=32786"	"Workshops and training sessions on DDI and Appendix L standards tailored for analysts, IT staff, and data stewards.\n\nOnline courses or modules that teach best practices for metadata documentation and DDI use (e.g., from the DDI Alliance or ICPSR).\n\nInternal communities of practice or metadata working groups to share knowledge and coordinate efforts."	"Always"	"Much"	"Often"	"https://search.open.canada.ca/opendata/?collection=api"	"Somewhat unfamiliar"	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Often"	"https://search.open.canada.ca/opendata/?collection=api"	"As an analyst from the Treasury Board Secretariat (TBS), I use the open government portal to access datasets that support evidence-based policy development, performance measurement, and spending oversight. It allows me to monitor government programs, analyze trends across departments, and ensure alignment with transparency and accountability mandates. The portal also helps identify opportunities for improving service delivery and public reporting"	"English "	"The portal aligns with international standards like the Open Data Charter, promoting principles such as open by default, timely and comprehensive, and comparable and interoperable."	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Little"	"CSV"	""	"Rarely"	"Rarely"	"Rarely"	"Often"	"Often"	"Rarely"	"Somewhat important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Drafting a Open Data Maturity Model "	"The Open Data Maturity Model will aim to guide departmental officials in assessing and improving the open data practices within their departments. \nThe model will be structured around five areas of accountability and five progress levels, providing a consistent approach for departments to assess their current state, identify areas for growth, and implement strategies to achieve greater maturity in open data management.\n"	"Fall 2024"	"it is ongoing "	"In our most recent project involving a draft maturity model, the goal of creating open data with semantic metadata was to enhance data discoverability, consistency, and interoperability across departments. By applying structured, machine-readable metadata, we aimed to support more automated analysis and integration of datasets, enabling analysts and stakeholders to derive insights more efficiently. This approach also aligns with our commitment to transparency and the Government of Canada's digital and open data standards."	"It is currently in consultation "	"In our most recent project involving the draft open data maturity model, we used a combination of tools, standards, and frameworks to ensure consistency, interoperability, and alignment with federal data policy goals:\n\nTools:\n\nOpen Government Portal (open.canada.ca) for publishing and managing datasets.\n\nGCpedia and GCcollab for collaborative drafting and stakeholder engagement.\n\nCSV on the Web (CSVW) and JSON-LD for structuring data in machine-readable formats.\n\nMetadata Standards:\n\nGovernment of Canada Metadata Schema (GCMS), based on Dublin Core.\n\nUse of controlled vocabularies and linked data principles to enable semantic tagging and data linking.\n\nFrameworks:\n\nOpen Data Charter principles and Digital Standards from the Government of Canada.\n\nAlignment with the Data Strategy for the Federal Public Service, emphasizing data stewardship and reusability.\n\nDraft alignment with the W3C Data on the Web Best Practices to ensure openness and quality. "	"Engage early with stakeholders"	"A key gap in open data policies and tools is the difficulty in discovering and understanding available datasets due to inconsistent metadata and poor data inventory management. Improved metadata standards, structured data classification, and better integration of data tools would enhance accessibility and usability. Additionally, clearer policies on data stewardship and governance are needed to ensure long-term data quality and relevance."	"The biggest threat to quality data on the web is data fragmentation and inconsistency, where datasets are poorly documented, lack standardization, or are scattered across different platforms, making them difficult to find, understand, and use. This fragmentation leads to reduced trust in data and limits its potential for analysis and decision-making. To mitigate this, adopting and enforcing common metadata standards, improving data governance frameworks, and ensuring better interoperability between data platforms would help create a more cohesive, reliable data ecosystem."	"I’m really interested in the results from this survey and would love for them to be shared. Understanding the insights gathered will be valuable in refining open data practices and policies, and I’m eager to see how they contribute to improving the overall open data landscape."	"Yes, I confirm that I want to participate - please submit my responses"	""
"119"	"0.899999976158142"	"35-44"	"Female"	"Graduate degree"	"United States of America"	"Novice"	"Novice"	"Academia"	"NDSU"	"www.ndsu.edu"	"Never"	"Yes"	"Unknown"	"Education"	"Never"	"None"	"Never"	"Na"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"User"	"None"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"120"	"0.899999976158142"	"55-64"	"F"	"Graduate degree"	"United States of America"	"Expert"	"Advanced beginner"	"Enterprise, Private Sector"	"Science Systems and Applications, Inc"	"https://www.ssaihq.com/"	"Often"	"Yes"	"ISO 19115, DCAT, DIF10, ECHO 10"	"NASA CMR"	"Always"	"Much"	"Often"	""	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly disagree"	""	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Often"	"Rarely"	""	"research"	"Fortran, Matlab, Python, ..."	""	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Much"	"Other (please specify)"	"NetCDF, ASCII"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Often"	"Often"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"NOAA Arctic Sea Ice Climate Normals"	"https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C01594"	"2018"	"2019"	""	""	""	""	""	""	""	""	""
"121"	"0.800000011920929"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"122"	"0.699999988079071"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"123"	"0.899999976158142"	"75 or older"	"it"	"Secondary Diploma or Equivalent"	"Angola"	"Novice"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Never"	"None"	"Never"	"xnxx.com"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"124"	"0.899999976158142"	"25-34"	"female"	"Professional degree"	"Chile"	"Expert"	"Novice"	"Non-Governmental Organization (NGO)"	"Wikimedia Chile"	"www.wikimedia.cl"	"Rarely"	"Yes"	"Wikidata model"	"guides"	"Always"	"Much"	"Rarely"	""	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”)"	"Poor"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Often"	"Rarely"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"125"	"0.899999976158142"	"25-34"	"female"	"Graduate degree"	"United States of America"	"Proficient"	"Novice"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"126"	"0.899999976158142"	"35-44"	"Female "	"Graduate degree"	"Canada"	"Proficient"	"Proficient"	"Academia"	"Borealis "	"Borealisdata.ca"	"Often"	"Yes"	"DDI, iso 19115 (GeoPortal), DataCite "	"Repository tools , researcher resources and support , organization policies for data management , etc "	"Often"	"Much"	"Often"	"Dli initiative , ddi user / scientific groups, Dataverse community, Ontario council of university libraries communities , digital research alliance of Canada , government documents community , academic library repositories communities , open repositories, Dublin core metadata communities , geospatial data communities , digital preservation community, etc "	"Somewhat unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"CSV,Other (please specify)"	"Spss, tabular format, gbd , tiff , shape file , jpg , "	"Often"	"Often"	"Often"	"Often"	"Often"	"Often"	"Somewhat important"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Canadian census data discovery partnership project "	"https://cddp-pddr.ca/"	"2020"	"Ongoing "	"Open inventory of historical census items and data for open discovery and reuse to facilitate broad access to historical censuses "	"Broad Engagement , broad reuse , utility to current and future projects "	"Sql database, air table, Dataverse , r shiny , excel , google docs , github , Hugo static sites "	"Plan early and test workflows in advance "	"Sustainability of tools and formats is a major issue . Reuse of these formats does not always consider researcher workflows "	"Project and organizational mandate, capacity and organizational resources, staff and user awareness of challenges , coordination of services etc "	"No "	"Yes, I confirm that I want to participate - please submit my responses"	""
"127"	"0.699999988079071"	"45-54"	""	"Professional degree"	"Sweden"	"Novice"	"Advanced beginner"	"Government, Public Sector"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"128"	"0.899999976158142"	"35-44"	"male"	"Graduate degree"	"United States of America"	"Expert"	"Novice"	"Academia"	"indiana university"	"iu.edu"	"Rarely"	"No"	""	"I don't know, it's a big university"	"Always"	"Much"	"Never"	""	"Very unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat disagree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Never"	"Always"	"Common Voice"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"129"	"0.600000023841858"	"35-44"	"female"	"Graduate degree"	"Hungary"	"Proficient"	"Proficient"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Often"	"Much"	"Rarely"	"Wikipedia"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"130"	"1"	"45-54"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"131"	"0.200000002980232"	"75 or older"	"male"	"Graduate degree"	"United States of America"	"Expert"	"Novice"	"Non-Governmental Organization (NGO)"	"topcy house consulting"	""	"Never"	"No"	""	""	"Often"	"Much"	"Never"	"i generate my own or pull it off the web (far too many sites to list them)"	"Very unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Often"	"Never"	"dunno - there are so many - i often generate my own"	"learn a new language; get ideas for proofs of new (and old) theorems"	"c or awk to generate, web pages to download"	"dunno"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Little"	"Other (please specify)"	"parseable text - not csv because the data is either not numeric or waay too large"	"Never"	"Never"	"Never"	"Rarely"	"Never"	"Often"	"Very important"	"Somewhat disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"minimal area convex lattice polygons"	"no"	"10 sep 2001"	"ingoing"	"extend knowledge"	"haven't yet published the data - about 400TB"	"c and xml"	"be careful to record ALL steps of the creation or discovery and acquisition, curating, and use if the data"	"wildly inadequate semantic tools, especially sematic text analysis for descriptive meta data"	"hackers, trolls, and governments - no"	"nope"	"Yes, I confirm that I want to participate - please submit my responses"	""
"132"	"0.899999976158142"	"25-34"	"Men"	"Professional degree"	"Poland"	"Advanced beginner"	"Novice"	"Enterprise, Private Sector"	""	""	"Never"	"No"	""	"Ok"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"133"	"0.899999976158142"	"35-44"	"m"	"Professional degree"	"Italy"	"Proficient"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Rarely"	"Little"	"Always"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"134"	"0.800000011920929"	"45-54"	"male"	"Professional degree"	"New Zealand"	"Expert"	"Expert"	"Academia"	"Victoria University of Wellington"	"www.wgtn.ac.nz"	"Often"	"Yes"	"MARC, oai_dc, etc\n"	"Better support and validation tools built into the systems we already use\n"	"Often"	"Much"	"Always"	"https://ojs.victoria.ac.nz/\nhttps://openaccess.wgtn.ac.nz/\nhttps://www.wikidata.org/wiki/Wikidata:ExLibris-Primo\netc\n"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Very poor"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Always"	"Often"	"ORCID dumps"	"getting info about people released by the person\n"	"Many"	"XML"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Little"	"Other (please specify)"	"OAI-PMH"	"Often"	"Often"	"Often"	"Often"	"Often"	"Often"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"https://ojs.victoria.ac.nz/jnzs/oai?verb=Identify"	"https://ojs.victoria.ac.nz/jnzs/\n"	"decades ago"	"on going"	"standards-compliant OAI-PMH feeds\n"	"validators"	"OAI-PMH, validators\n"	" "	" "	" "	" "	"Yes, I confirm that I want to participate - please submit my responses"	""
"135"	"0.899999976158142"	"25-34"	"m"	"Graduate degree"	"Sweden"	"Novice"	"Novice"	"Academia"	"Högskolan i Halmstad"	"hh.se"	"Often"	"Yes"	"I don't know the answer to this question. PLease add \"don't know\" as an alternative. \n"	"don't know."	"Never"	"None"	"Never"	"none. \n\nThis question should not show up, if I answer \"never\" to the previous questions.... \n\n"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"136"	"0.600000023841858"	"45-54"	"male"	"Graduate degree"	"Slovenia"	"Advanced beginner"	"Novice"	"Government, Public Sector"	"Ministrstvo za digitalno preobrazbo - Ministry of digital transformation"	"https://www.gov.si/drzavni-organi/ministrstva/ministrstvo-za-digitalno-preobrazbo/"	"Often"	"Yes"	"We are using EIF (European interoperability framework). https://nio.gov.si/about/purpose"	"We are using EIF (European interoperability framework) already."	"Rarely"	"Little"	"Rarely"	"https://podatki.gov.si/"	"Somewhat familiar"	"Very familiar"	"Somewhat familiar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Little"	"CSV"	""	"Often"	"Often"	"Rarely"	"Often"	"Often"	"Rarely"	"Somewhat important"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"registered vehicles"	"https://podatki.gov.si/dataset/prvic-registrirana-vozila-po-mesecih\n\nfacing problem where VIN number is declared as personal data"	"12 2024"	"ongoing"	"more clarity on car market"	"project has issues regarding new data because aforementioned VIN number treated as personal data"	"none"	"mostly all open data should be accessed by API and therefore prepared in that manner. All XLS, TXT and other formats gives opportunity to have old, non updated data."	"laws are not strictly defined, so open data is prepared in different ways and put on open data portal. We should prepare more rules on data cleansing and preparation."	"hundreds of editors with lack in data management knowledge. "	"no"	"Yes, I confirm that I want to participate - please submit my responses"	""
"137"	"0.800000011920929"	"18-24"	"M"	"Graduate degree"	"Ethiopia"	"Advanced beginner"	"Advanced beginner"	"Government, Public Sector"	"Jimma University"	"www.ju.edu.et/library"	"Rarely"	"No"	""	"index"	"Rarely"	"Much"	"Rarely"	"www.ju.edu.et"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat disagree"	"User"	"Little"	"Consistency (uniformity within the dataset)"	"Very poor"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Rarely"	"Often"	"http://linkedin.com"	"for searching academic resources"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"138"	"0.699999988079071"	""	""	""	""	""	""	""	""	""	""	"Yes"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"139"	"0.899999976158142"	"35-44"	"Masculin"	"Graduate degree"	"Côte d'Ivoire"	"Novice"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Rarely"	"Little"	"Always"	""	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Never"	"Never"	"wikidata"	"consulté des informations "	"pas de langage"	"pas"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Little"	"CSV,Other (please specify)"	"excel"	"Never"	"Never"	"Never"	"Never"	"Never"	"Rarely"	"Somewhat unimportant"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"tways"	""	""	""	""	""	""	""	""	""	""	""	""
"140"	"0.899999976158142"	"35-44"	"male"	"Graduate degree"	"Germany"	"Expert"	"Novice"	"Government, Public Sector"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"141"	"0.899999976158142"	"25-34"	"Female"	"Professional degree"	"India"	"Novice"	"Novice"	"Government, Public Sector"	"French Institute of Pondicherry"	"https://www.ifpindia.org/"	"Rarely"	"Yes"	"MARC21"	"Orientation"	"Rarely"	"Much"	"Rarely"	"https://zenodo.org/"	"Somewhat familiar"	"Somewhat familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"User"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Rarely"	"Often"	"https://lov.linkeddata.es/dataset/lov/"	"building vocabulary for an archive"	"py"	"DC"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"NONE"	"TRANSPARENCY AND OPENESS"	"NONE"	"Yes, I confirm that I want to participate - please submit my responses"	""
"142"	"0.899999976158142"	"45-54"	"male"	"Graduate degree"	"Germany"	"Expert"	"Expert"	"Non-Governmental Organization (NGO)"	"FIZ Karlsruhe — Leibniz Institute for Information Infrastructure"	"https://fiz-karlsruhe.de/"	"Often"	"Yes"	"RDF\nOAI-PMH\nvarious ontologies"	"Clear use cases for and documentation of DDI"	"Often"	"Much"	"Rarely"	"https://wikidata.org/\nhttps://okfn.org/\nhttps://openstreetmap.org/\nhttps://crossref.org/\nand many others"	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Often"	"Always"	"https://wikidata.org/"	"Making more of humanity's structured knowledge available to more people and their tools."	"(SPARQL), Python"	"RDF"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	"CSV,RDF"	""	"Often"	"Often"	"Often"	"Often"	"Always"	"Always"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Scholia"	"https://scholia.toolforge.org/"	"2016"	"ongoing"	"Making scholarly knowledge accessible to a broader audience"	"mainly based on usage and community feedback"	"RDF\nFlask\nSPARQL"	"discuss your plans with relevant communities and potential early adopters"	"Openness can help reduce bureaucracy but in many cases, relevant policies add new layers of bureaucracy."	"(a) The pervasive lack of reasonably complete provenance chains.\n(b) Make data reuse count in assessment contexts."	"This survey is too long and should perhaps have been split into several that focus on things like (a) DDI & friends, (b) FAIR principles, (c) open data projects, (d) the wider open data landscape, (e) anything else."	"Yes, I confirm that I want to participate - please submit my responses"	""
"143"	"0.899999976158142"	"35-44"	""	"Graduate degree"	"Canada"	"Advanced beginner"	"Novice"	"Government, Public Sector"	"Canadian Museum of Nature"	"natre.ca"	"Always"	"Yes"	"Darwincore, DublinCore, ABCDEFG, CHIN metadata standards, Nomenclature 4.0"	"As a natural Hitory collection - we tend to use an interoperable standards like DarwinCore for most collections "	"Often"	"Much"	"Often"	"GGBN, GBIF, BHL, FishNET2, VertNET, Canadensys"	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Often"	"Rarely"	"gbif.org"	"natural history collection data and research"	"R"	"DarwinCore"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	"CSV"	""	"Rarely"	"Rarely"	"Rarely"	"Often"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Hudson's Bay Lowland Collection"	"https://www.gbif.org/dataset/56c7066c-ab15-4421-b685-cc2c30dbfb7c"	"2023"	"ongoing"	"collection access improvement with partnership with soverign data partners"	"Collection access and the return of data to the nation"	"DarwinCore standard for data and audobon core for images"	"Make sure that your data sharing parters have agreed to terms before the project starts"	"Currently we are looking a genetic information and with Canada not having a DSI policy and other countries do - it is hard to ensure the return of benefit sharing form gentic work"	"AI genrated data.  We are launging a test project to infer location and collector for LoD of collections and compare against actual people.  The project will put markers for uncertainty and give percentage but there are no current accepted interoperable fields for \"error\" in those cases - Lat/long yes but not collector"	"'="	"Yes, I confirm that I want to participate - please submit my responses"	""
"144"	"0.899999976158142"	"45-54"	"male"	"Graduate degree"	"Canada"	"Expert"	"Proficient"	"Academia"	"Simon Fraser University"	"http://sfu.ca"	"Often"	"Yes"	"Not sure, as the uni is big and diverse"	"not sure"	"Always"	"All"	"Rarely"	"https://ieee-dataport.org\nhttps://dataverse.harvard.edu\nhttps://www.ieee-data.org\n"	"Somewhat unfamiliar"	"Very familiar"	"Very familiar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Never"	"http://ampds.org"	"Complete and high quality"	"python"	"none"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	"CSV"	""	"Often"	"Rarely"	"Never"	"Rarely"	"Often"	"Often"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"SFU-EVP Dataset"	"https://dx.doi.org/10.21227/ya1w-m583"	"2021"	"ongoing"	"no"	"data is FAIR, downlaod numbers, citations to journal article"	"python, AWS"	"Understand the data completely before using it"	"The lack of univeral PIDs to query data see https://doi.org/10.1007/978-3-031-39141-5_25"	"people colelcting data without undersand how to collect, clean, and publish properly"	"nope"	"Yes, I confirm that I want to participate - please submit my responses"	""
"145"	"0.899999976158142"	"35-44"	"non-binary"	"Undergraduate degree"	"Canada"	"Advanced beginner"	"Advanced beginner"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"146"	"0.899999976158142"	"45-54"	"f"	"Graduate degree"	"France"	"Proficient"	"Novice"	"Academia"	"cy cergy paris"	"cyu.fr"	"Rarely"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"147"	"0.899999976158142"	"45-54"	"female"	"Graduate degree"	"Canada"	"Proficient"	"Novice"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"148"	"0.899999976158142"	"35-44"	"m"	"Graduate degree"	"France"	"Expert"	"Advanced beginner"	"Academia"	"CNRS"	"same"	"Rarely"	"No"	""	"..."	"Often"	"Much"	"Rarely"	"..."	"Very unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"149"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"150"	"0.5"	"45-54"	"Female"	"Graduate degree"	"Malaysia"	"Proficient"	"Advanced beginner"	"Academia"	"Universiti Sains Islam Malaysia"	"https://www.usim.edu.my/"	"Often"	"Yes"	"Dublin Core"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"151"	"0.899999976158142"	"45-54"	"Female"	"Professional degree"	"France"	"Proficient"	"Advanced beginner"	"Academia"	""	""	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"152"	"0.899999976158142"	"18-24"	"Female "	"Undergraduate degree"	"France"	"Novice"	"Novice"	"Academia"	"École normale supérieure PSL"	"https://ens.psl.eu/"	""	"No"	""	""	"Rarely"	"Little"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"153"	"0.300000011920929"	"35-44"	"Female presenting"	"Professional degree"	"Netherlands"	"Proficient"	"Advanced beginner"	"Academia"	"Erasmus university Rotterdam "	"Eur.nl"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"154"	"0.800000011920929"	"25-34"	"woman"	"Graduate degree"	"Netherlands"	"Advanced beginner"	"Advanced beginner"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"155"	"0.699999988079071"	"25-34"	"Male"	"Graduate degree"	"France"	"Proficient"	"Advanced beginner"	"Academia"	"Université Cote d'Azur"	"https://univ-cotedazur.fr/"	"Never"	"No"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"156"	"0.899999976158142"	"35-44"	"female"	"Graduate degree"	"Germany"	"Advanced beginner"	"Advanced beginner"	"Academia"	"Carl von Ossietzky University of Oldenburg"	"https://uol.de/"	"Rarely"	"Yes"	"OEMetadata"	"Guidance on how and when to apply the standards; easy-to-use standards."	"Often"	"All"	"Rarely"	"NFDI, NFDI4Energy, TIB Terminology Service, Open Research Knowledge Graph, Open Energy Platform, Zenodo"	"Somewhat familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"User"	"Little"	"Completeness (spatial / temporal / demographic) ,Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Rarely"	"Rarely"	"Open Energy Platform (https://openenergyplatform.org/)"	"My job is to further develop this data source with ontologies and metadata standards. I use the data available from this source to better understand what sort of ontology coverage and metadata fields are most important to include in my future work, and where data providers need more support with metadata."	"Python"	"OEMetadata, BFO (basic formal ontology), OEO (open energy ontology)"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Guidance on how and where to share data"	"Generative AI is a huge threat, since it can mimic the look of valid data with no regard for data quality. Better education about what generative AI actually does/how it actually works is one potential mitigation method, but I'm not certain it'll be enough."	"none"	"Yes, I confirm that I want to participate - please submit my responses"	""
"157"	"0.300000011920929"	"25-34"	""	"Professional degree"	"China"	"Expert"	"Proficient"	"Non-Governmental Organization (NGO)"	""	""	"Rarely"	"No"	""	""	"Always"	"Much"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"158"	"0.899999976158142"	"45-54"	"Female"	"Graduate degree"	"Croatia"	"Advanced beginner"	"Advanced beginner"	"Academia"	"Sdu"	"www sdu.com"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"159"	"0.899999976158142"	"35-44"	"female"	"Professional degree"	"Portugal"	"Novice"	"Novice"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"160"	"0.899999976158142"	"35-44"	"male"	"Graduate degree"	"Argentina"	"Novice"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"161"	""	"35-44"	"Female"	"Graduate degree"	"United States of America"	"Proficient"	"Proficient"	"Academia"	"Ocean Genome Legacy, Northeastern University"	"ogl.northeastern.edu"	"Always"	"Yes"	"we use Darwin Core standards"	"User guides, help with implementation, time, clear reasons for using them that are reflected in merit reviews."	"Often"	"Much"	"Often"	"SPNHC, GGBN, GBIF, OBIS, USGS, TDWG"	"Very unfamiliar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Little"	"Other (please specify)"	"darwin core archives; I also use Arctos to manage my data and data is downloadable in .csv files from that website."	"Rarely"	"Never"	"Rarely"	"Often"	"Often"	"Often"	"Somewhat important"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"The OGL:Genomic collection"	"https://arctos.database.museum/search.cfm?guid_prefix=OGL:Genomic"	"2023"	"ongoing"	"Increasing public accessibility to our collection data"	"Being able to document data use more clearly than when our collection was not publicly accessible."	"the Arctos collection management documents; Darwin Core"	"Mapping is the most important step"	""	"This need for data to feed the machine. "	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"162"	"0.300000011920929"	"18-24"	"non-binary"	"Secondary Diploma or Equivalent"	"United States of America"	"Proficient"	"Novice"	"Academia"	"Ocean Genome Legacy"	""	"Always"	"No"	""	"unsure\n"	"Often"	"Much"	"Rarely"	"Arctos, PFAS Project Lab"	"Very unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”)"	"Good"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Rarely"	"Never"	"Arctos"	"Researching and uploading catalog records."	"N/A"	"Unsure"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"All"	"CSV"	""	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Never"	"Rarely"	"Very important"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Publications Work at OGL"	"Find all of the publications that have used samples that OGL has/had in our bio-repository, then uploading these publications, their authors, and linking the catalog records (or samples) that were used in them. "	"March, 2025"	"Ongoing"	"Researchers would have access to seeing what studies have used OGL's samples, what specific samples were used, and what was done with the samples."	"Successful. I have been able to upload the publications and link the samples used to almost all publications."	""	"Have patience - data and information can sometimes be tricky to track down and find specific details about. "	""	"AI is the largest threat I can think of now, as it is able to grab open data and use it in potentially harmful ways (such as misinforming AI users or misinterpreting data). Restrictions on AI's use of open data should be put in place."	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"163"	"0.800000011920929"	"45-54"	"female"	"Graduate degree"	"Italy"	"Novice"	"Novice"	"Academia"	"Ca' Foscari University of Venice"	"www.unive.it"	"Rarely"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"164"	"0"	"25-34"	"male"	"Post-secondary certificate"	"Germany"	"Advanced beginner"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Often"	"All"	"Often"	""	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	""	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	""	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Little"	"Other (please specify)"	"Idk, I edit openstreetmap"	"Rarely"	"Never"	"Rarely"	"Often"	"Never"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Somewhat disagree"	"Somewhat disagree"	"openstreetmap"	"osm.org"	"idk, i joined after"	"ongoing"	""	""	""	""	""	"No checks, everyone edits openstreetmap, but i sometimes feel no one double checks anything"	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"165"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"166"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"167"	"0.899999976158142"	"45-54"	"Male"	"Graduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Expert"	"Expert"	"Enterprise, Private Sector"	"TPXimpact"	"tpximpact.com"	"Never"	"Yes"	"DCAT and domain specific standards"	"More training to make people aware and integration into processes and systems.\n"	"Often"	"Much"	"Often"	""	"Very familiar"	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	""	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat disagree"	""	""	"Strongly agree"	"Both (User and Provider)"	"All"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Rarely"	""	"Data insights"	"Python"	""	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Little"	"CSV,RDF"	""	"Rarely"	"Rarely"	"Rarely"	"Often"	"Often"	"Always"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Cross Government Data Marketplace"	"Find and access data assets across government"	"2022"	"Ongoing"	"Improve data reuse across government\n"	""	"DCAT, Dublin Core\n\nCKAN, Jena Fuseki"	""	""	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"168"	"0.899999976158142"	"45-54"	"male"	"Professional degree"	"France"	"Proficient"	"Novice"	"Academia"	"Université de Versailles-Saint-Quentin-en-Yvelines"	"https://www.uvsq.fr/"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"169"	"0.800000011920929"	"25-34"	"Woman"	"Graduate degree"	"Canada"	"Advanced beginner"	"Novice"	"Government, Public Sector"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"170"	"0.899999976158142"	"35-44"	"Female"	"Undergraduate degree"	"Singapore"	"Proficient"	"Novice"	"Non-Governmental Organization (NGO)"	"Open Data Charter"	"www.opendatacharter.org"	"Always"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"171"	"0.600000023841858"	"25-34"	"27"	"Professional degree"	"United States of America"	"Advanced beginner"	"Advanced beginner"	"Non-Governmental Organization (NGO)"	"Girls education charity"	""	"Often"	"No"	""	"No"	"Rarely"	"Little"	"Often"	"GitHub "	"Somewhat familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"User"	"Much"	"Lack of bias (no systematic “tilt”),Timeliness (speed of data release)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Often"	"Often"	"Google"	"Data "	"JavaScript "	"Laptop"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"No gap"	"Breach "	"No"	"Yes, I confirm that I want to participate - please submit my responses"	""
"172"	"0.800000011920929"	"25-34"	"Woman"	"Graduate degree"	"United States of America"	"Novice"	"Novice"	"Academia"	"Northern Essex Community College"	"www.necc.edu"	"Never"	"Yes"	"I'm not sure but I assume so. "	"Not sure"	"Never"	"Unsure"	"Always"	""	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"User"	"None"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	""	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Rarely"	"Never"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"173"	"0.899999976158142"	"75 or older"	"not relevant"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"174"	"0.899999976158142"	"35-44"	"Not relevant!"	"Graduate degree"	"Canada"	"Proficient"	"Advanced beginner"	"Academia"	"Prefer not to answer"	"Prefer not to answer"	"Never"	"No"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"175"	"0.899999976158142"	"45-54"	"male"	"Undergraduate degree"	"United States of America"	"Proficient"	"Advanced beginner"	"Non-Governmental Organization (NGO)"	"Wikidata"	"Wikidata.org"	"Always"	"Yes"	"we develop data models ourselves, and import models from others"	"no idea what DDI is, if it is important then perhaps DDI should present to Wikimedia community"	"Always"	"All"	"Always"	"universities, museums, government agencies, NGOs, so many"	"Very familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Always"	"Always"	"wikidata.org"	"work, personal interest"	"SPARQL"	"Wikidata's own data models"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	"Other (please specify)"	"in Wikidata platform"	"Always"	"Always"	"Always"	"Always"	"Always"	"Always"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"democratization of data in the Bahamas"	"data visualizations of national government data"	"Janu 2025"	"ongoing"	"public engagement with data visuzliations"	"media impact metrics"	"hard to name them all, 20+ tools"	"do it, it is fun"	"ethics, policies, documentation"	"public sentiment of mistrust"	"no"	"Yes, I confirm that I want to participate - please submit my responses"	""
"176"	"0.899999976158142"	"35-44"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"177"	"0.899999976158142"	"45-54"	"male"	"Graduate degree"	"United States of America"	"Proficient"	"Advanced beginner"	"Enterprise, Private Sector"	"9b Corp"	"https://www.9bcorp.com/"	"Never"	"No"	""	"Our software platform isn't a repository for data; rather a tool for visualizing other public (local, state, and national government and nonprofit / NGO) data."	"Always"	"All"	"Often"	"https://www.cityoftulsa.org/opentulsa\nhttps://countyclerk.tulsacounty.org/Home/Transparency"	"Very unfamiliar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"User"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Often"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"178"	"0.600000023841858"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"179"	"0.699999988079071"	"35-44"	"Woman"	"Graduate degree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"180"	"0.899999976158142"	"35-44"	"Fenale"	"Secondary Diploma or Equivalent"	"United States of America"	"Advanced beginner"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Often"	"All"	"Rarely"	"Dataverse, GLED"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"User"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Never"	"Never"	"Dataverse.org"	"Community and visualization"	"Python"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"181"	"0.899999976158142"	"35-44"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"182"	"0.899999976158142"	"35-44"	"female"	"Undergraduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Proficient"	"Novice"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"183"	"0.800000011920929"	"35-44"	"Masculin"	"Graduate degree"	"Senegal"	"Advanced beginner"	"Novice"	"Non-Governmental Organization (NGO)"	""	""	"Never"	"No"	""	""	"Rarely"	"Little"	"Rarely"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"184"	"0.899999976158142"	"35-44"	"female"	"Graduate degree"	"Germany"	"Advanced beginner"	"Advanced beginner"	"Academia"	""	""	"Often"	"Yes"	"Dublin Core, DataCite"	"not sure"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"185"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"186"	"0.899999976158142"	"35-44"	""	"Professional degree"	"Spain"	"Novice"	"Advanced beginner"	"Government, Public Sector"	"xx"	"xxx"	"Rarely"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"187"	""	"35-44"	"male"	"Graduate degree"	"Germany"	"Expert"	"Expert"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"188"	"0.899999976158142"	"55-64"	"Male"	"Graduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Advanced beginner"	"Advanced beginner"	"Academia"	"University of Hull"	"https://www.hull.ac.uk"	"Rarely"	"No"	""	"The ability to have such standards embedded into systems used so they can be applied by default."	"Rarely"	"Unsure"	"Often"	"JiscMail lists: UKCORR-DISCUSSION, RESEARCH-DATAMAN\nConcordat on Open Research Data\nUK Reproducibility Network"	"Somewhat familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	""	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat disagree"	""	"Somewhat agree"	"Often"	"Rarely"	""	""	""	""	""	""	""	"Little"	"CSV"	""	"Often"	"Rarely"	"Rarely"	"Often"	"Always"	"Often"	"Very important"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Basil Greenhill maritime images"	"A coillection of digitised photographs of maritime topics from the second half of the 20th century.  This is work in progress and not yet available."	"2021"	"Ongoing"	"Help facilitate access and use of the data"	"N/A"	"Hyrax with bespoke metadata using standard metadata vocabulary fields"	"Plan what data you are wanting to capture and describe"	"Creating open data can be resource heavy, so there is a need to find ways of levelling the playing field to allow and enable projects across different institutions to make data available openly."	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"189"	"0.899999976158142"	"35-44"	""	"Graduate degree"	"Canada"	"Novice"	"Novice"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"190"	"0.899999976158142"	""	""	""	"Canada"	"Expert"	"Expert"	"Academia"	""	""	"Often"	"Yes"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"191"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"192"	"0.899999976158142"	"18-24"	"ranamaya"	"Secondary Diploma or Equivalent"	"Armenia"	"Proficient"	"Advanced beginner"	"Non-Governmental Organization (NGO)"	"kalu"	"ranamaya"	"Never"	"Yes"	"repos"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"193"	"0.899999976158142"	"17 or younger"	"female"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"194"	"0"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"195"	"0"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"196"	"0.899999976158142"	"65-74"	"Male"	"Professional degree"	"India"	"Expert"	"Advanced beginner"	"Non-Governmental Organization (NGO)"	"Goldmax health foundation "	""	"Rarely"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"197"	"0.300000011920929"	"55-64"	"female"	"Post-secondary certificate"	"Canada"	"Proficient"	"Novice"	"Non-Governmental Organization (NGO)"	"Greville Bay Shipbuilding Museum Society aka Age of Sail Museum"	"https://ageofsailmuseum.ca"	"Never"	"Yes"	"CHIN Humanities Data Dictionary"	"unsure as we use a group site"	"Rarely"	"Little"	"Often"	"Nova Muse, Archive it, google datasearch"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"User"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Rarely"	"Often"	"google data search"	"research"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"198"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"199"	"0.899999976158142"	"35-44"	"male"	"Graduate degree"	"Netherlands"	"Proficient"	"Expert"	"Non-Governmental Organization (NGO)"	" Data Archiving Networked Services (DANS)"	"https://dans.knaw.nl/"	"Often"	"Yes"	"DataCite metadata schema; schema.org; OAI_ORE; OpenAIREl; DDI; Dublin Core"	"DANS already adopt DDI as a metadata export format"	"Often"	"Much"	"Often"	"DataCite; CrossRef; Wikidata; Obo Foundry; EMBL-EBI Ontology Lookup Service; data.europa.eu; op.europa.eu; re3data.org"	"Very unfamiliar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"Other (please specify)"	"data formats are dependent on the depositors. Although the repository recommends some open formats, the decision of what formats are used to store deposited data, depend on depositors.\n"	"Rarely"	"Often"	"Often"	"Often"	"Often"	"Often"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"SSHOC-NL"	"https://sshoc.nl/"	"2024"	"ongoing"	"increase interoperability of datasets from different social sciences and humanities research data providers. And linking those to related publications and software\n"	"N/A\n"	"DCAT; DCAT-AP; Schema.org; Getty AAT; ELSST Thesaurus"	"Do not try to reinvent the wheel. Follow current recommendations, best-practices, and specifications that are community agnostic. And base your concepts and their definitions, originated in mature semantic resources such as ontologies and taxonomies"	"A lot of gaps the mapping/translation between metadata formats (ie. DataCite XML metadata schema is difficult to translate semantic RDF based formats such as DCAT-AP). Also in the RDM community familiarity and use of unambiguous concepts and properties (actively maintained, referenceble with stable URIs, and clearly and unambiguous defined) for metadata records.  "	"(this is a question that requires a lot more reflection) "	"No\n"	"Yes, I confirm that I want to participate - please submit my responses"	""
"200"	"0.899999976158142"	"45-54"	"Female"	"Undergraduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Expert"	"Advanced beginner"	"Non-Governmental Organization (NGO)"	"EMBL-EBI"	"https://www.ebi.ac.uk/"	"Always"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"201"	""	"25-34"	"Female"	"Undergraduate degree"	"Brazil"	"Proficient"	"Advanced beginner"	"Non-Governmental Organization (NGO)"	"SciELO"	"scielo.org"	"Always"	"Yes"	"The ones from the Dataverse project"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"202"	"0.899999976158142"	"25-34"	""	"Graduate degree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"203"	"1"	"25-34"	"female"	"Graduate degree"	"Germany"	"Novice"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"204"	"0.100000001490116"	"45-54"	"female"	"Graduate degree"	"Canada"	"Novice"	"Novice"	"Government, Public Sector"	"Department of National Defence"	"http://www.petawawamuseums.org/blog/"	"Never"	"No"	""	""	"Often"	"Much"	"Often"	"https://library-archives.canada.ca/\nhttps://www.iwm.org.uk/\nInternet Archive\n"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"User"	"Much"	"Consistency (uniformity within the dataset),Timeliness (speed of data release)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Never"	"Never"	"https://library-archives.canada.ca/eng"	"Research"	"Unknown - not knowledgeable enough to say "	"unknown - not knowledgeable enough to say"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"205"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"206"	"0.5"	"45-54"	"F"	"Graduate degree"	"Canada"	"Novice"	"Novice"	"Government, Public Sector"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"207"	"0.899999976158142"	"45-54"	"female"	"Professional degree"	"Finland"	"Proficient"	"Novice"	"Academia"	""	""	"Always"	"Yes"	"I know they exist, I haven't really used them"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"208"	"0.800000011920929"	"35-44"	"female"	"Graduate degree"	"United States of America"	"Advanced beginner"	"Novice"	"Academia"	"University of Wyoming Museum of Vertebrates"	"https://arctos.database.museum/search.cfm"	"Often"	"Yes"	"DARWIN Core in Arctos\n"	"money, time, easy to understand basic guides, (explanations of abbreviations used)"	"Often"	"Much"	"Often"	""	"Very unfamiliar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"Other (please specify)"	"online digital database"	"Often"	"Often"	"Often"	"Often"	"Often"	"Often"	"Somewhat important"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Arctos"	"https://arctos.database.museum/search.cfm"	"We joined in 2011, but Arctos had been active before that"	"ongoing"	"provide access to museum data"	"ok"	"Arctos database"	"always cite and provide credit to the organizations who's data you are using"	"citation and credit to the creators of the data are not community enforced"	"AI, use of data without correct citation or credit given"	"no"	"Yes, I confirm that I want to participate - please submit my responses"	""
"209"	"0"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"210"	"0"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"211"	"0"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"212"	"0"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"213"	"0.899999976158142"	"35-44"	""	"Graduate degree"	"Canada"	"Novice"	"Advanced beginner"	"Government, Public Sector"	"City of Edmonton"	"edmonton.ca"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"214"	"0.899999976158142"	"45-54"	""	"Professional degree"	"Egypt"	"Advanced beginner"	"Expert"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"215"	"0.800000011920929"	"45-54"	""	"Undergraduate degree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"216"	"0.899999976158142"	"55-64"	"Female"	"Post-secondary certificate"	"Germany"	"Proficient"	"Proficient"	"Government, Public Sector"	"TIB – Leibniz Information Centre for Science and Technology "	"https://www.tib.eu/en/"	"Often"	"Yes"	"DCAT, schema.org, DataCite"	"We don't use DDI because we mainly publish data from natural sciences and engineering.  "	"Always"	"All"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"217"	"0.600000023841858"	"45-54"	"Female"	"Professional degree"	"United Kingdom of Great Britain and Northern Ireland"	"Expert"	"Proficient"	"Academia"	"University of edinburgh"	"https://www.ed.ac.uk/"	"Often"	"No"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"218"	"0.899999976158142"	"55-64"	""	"Graduate degree"	"Netherlands"	"Expert"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"219"	"0.899999976158142"	"35-44"	"Why?"	"Graduate degree"	"Finland"	"Proficient"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Always"	"All"	"Rarely"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"220"	"0.400000005960465"	"18-24"	"Woman"	"Secondary Diploma or Equivalent"	"Netherlands"	"Proficient"	"Novice"	"Enterprise, Private Sector"	"TomTom"	"tomtom.com"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"221"	"0.5"	"45-54"	"Woman"	"Post-secondary certificate"	"France"	"Advanced beginner"	"Novice"	"Academia"	"IREDU"	"https://iredu.ube.fr/"	"Often"	"No"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"222"	"0.899999976158142"	"25-34"	"Man"	"Undergraduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Advanced beginner"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Rarely"	"Unsure"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"223"	"0.899999976158142"	"25-34"	"female"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"224"	"0.5"	"25-34"	"Male"	"Professional degree"	"Argentina"	"Proficient"	"Proficient"	"Government, Public Sector"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"225"	"0.699999988079071"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"226"	"0.300000011920929"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"227"	"0.899999976158142"	"35-44"	"Male"	"Graduate degree"	"United States of America"	"Expert"	"Proficient"	"Non-Governmental Organization (NGO)"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"228"	"0.699999988079071"	"25-34"	"Women"	"Graduate degree"	"Canada"	"Expert"	"Proficient"	"Government, Public Sector"	"City of Hamilton"	"City of Hamilton"	"Never"	"No"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"229"	"0.899999976158142"	"55-64"	"male"	"Post-secondary certificate"	"Canada"	"Proficient"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"230"	"0.899999976158142"	"75 or older"	""	"Secondary Diploma or Equivalent"	"United Kingdom of Great Britain and Northern Ireland"	"Advanced beginner"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Always"	"All"	"Rarely"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"231"	"0.899999976158142"	"35-44"	"Ralf P. Carreon"	"Professional degree"	"Philippines"	"Expert"	"Expert"	"Non-Governmental Organization (NGO)"	"Ralf P Carreon"	"Meta,Ai, Crypto,SpaceX, Gold, Technology, Microsoft, Marketing, Bank"	"Always"	"Yes"	""	"CCS "	"Always"	"Unsure"	"Often"	""	"Very unfamiliar"	""	"Very unfamiliar"	"Very familiar"	"Very familiar"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"User"	"All"	"Consistency (uniformity within the dataset)"	"Good"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Often"	"Always"	"Google.com"	""	""	""	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Google.com"	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"232"	"0.400000005960465"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"233"	"0.5"	"25-34"	"Male"	"Graduate degree"	"United States of America"	"Expert"	"Expert"	"Academia"	"Pittsburgh Supercomputing Center"	"https://www.psc.edu/"	"Often"	"Yes"	"Schemas developed as part of biomedical research consortia for specific use by those projects"	""	"Often"	"Much"	"Never"	""	"Very familiar"	"Very familiar"	"Very familiar"	"Very unfamiliar"	"Very familiar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"All"	"Other (please specify)"	""	"Rarely"	"Rarely"	"Rarely"	"Often"	"Often"	"Often"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"SenNet"	"https://data.sennetconsortium.org/"	"2021"	"Ongoing"	""	""	""	""	""	""	""	""	""
"234"	"1"	"17 or younger"	"Male/ Walmart Paper bag/ I don't really care"	"Secondary Diploma or Equivalent"	"United States of America"	"Proficient"	"Advanced beginner"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"235"	"0.899999976158142"	"45-54"	"male"	"Graduate degree"	"United States of America"	"Expert"	"Proficient"	"Non-Governmental Organization (NGO)"	""	""	"Often"	"Yes"	"darwincore, Arctos standards"	"Funding opportunities for conference and workshop gatherings to hash out details of metadata standards and their implementation"	"Often"	"Much"	"Often"	"Arctos, Symbiota, GBIF, iDigBio"	"Very unfamiliar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Rarely"	"Arctos"	"Collections management, biological research"	"sql"	"FAIR, darwincore"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	"CSV,Other (please specify)"	"accessible online"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Often"	"Rarely"	"Somewhat important"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Arctos"	"https://arctos.database.museum/search.cfm"	"2010"	"ongoing"	"accessible collection data"	"Data quality checks"	""	""	""	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"236"	"0.899999976158142"	"25-34"	"Female"	"Graduate degree"	"United Kingdom of Great Britain and Northern Ireland"	"Proficient"	"Advanced beginner"	"Academia"	"Lancaster University"	"https://www.lancaster.ac.uk/"	"Often"	"No"	""	"Better staff resource to fill out metadata fields. But to be honest, I think the difficulty is the diversity of disciplines that we cover. DDI won't suit all of them"	"Often"	"Much"	"Often"	"zenodo\nfigshare\ngithub\nDCC\nDPC\nCoData\nThe Turing Way\nGO FAIR"	"Very unfamiliar"	"Very familiar"	"Somewhat familiar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Always"	"Zenodo"	"searching for open datasets "	"I don't use a programming language"	"FAIR"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Much"	"CSV,Other (please specify)"	"mostly the formats that researchers send us their data in. So this includes PDFs, text files, excel spreadsheets, etc."	"Often"	"Rarely"	"Often"	"Rarely"	"Always"	"Often"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"n/a"	"n/a"	"n/a"	"n/a"	"n/a"	""	""	""	""	""	""	""	""
"237"	"0.899999976158142"	"18-24"	"Female"	"Graduate degree"	"Canada"	"Proficient"	"Novice"	"Government, Public Sector"	"Ontario Health"	"https://www.ontariohealth.ca/"	"Rarely"	"Yes"	"Varies but limited"	"Mandate"	"Rarely"	"Much"	"Rarely"	""	"Very unfamiliar"	"Very familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Often"	"Often"	""	""	""	""	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Much"	"CSV,RDF"	""	"Often"	"Often"	"Often"	"Often"	"Often"	"Always"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"N/A"	""	"N/A"	""	""	""	""	""	""	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"238"	"0.899999976158142"	"55-64"	"Male"	"Graduate degree"	"Greece"	"Expert"	"Advanced beginner"	"Academia"	"University of Thessaly"	"www.uth.gr/en"	"Never"	"No"	""	"None"	"Often"	"Little"	"Always"	"https://data.europa.eu/en\nhttps://datacatalog.worldbank.org/\nhttps://data.unhabitat.org/"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"User"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Strongly disagree"	"Strongly disagree"	"Strongly disagree"	"Often"	"Rarely"	"https://data.europa.eu"	"research, trends"	"pyhton"	"DCAT-AP, RDF, CKAN "	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Data.europa.eu plays a vital role in promoting open data across the EU, but several gaps hinder its potential. Key issues include inconsistent metadata quality across datasets, limited advanced search and visualization tools, and a lack of built-in data analytics capabilities. "	"The biggest threat to quality data on the web is misinformation and lack of standardization.\nEasiness of use, lack of descriptive metadata, not prepared for use from AI."	"Congratulations on your efforts — it effectively addresses critical issues in open data (eg. AI). Kind request. Please communicate the findings to..."	"Yes, I confirm that I want to participate - please submit my responses"	""
"239"	""	"35-44"	"male"	"Graduate degree"	"Germany"	"Advanced beginner"	"Novice"	"Academia"	"University of Duisburg-Essen"	"https://www.uni-due.de"	"Rarely"	"No"	""	"I don't know"	"Rarely"	"All"	"Never"	"Wikimedia\nseveral datasets from the opendata project of large german cities, i.e. https://opendata.{city name}.de/ such as https://opendata.essen.de/ or https://opendata.duesseldorf.de/"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"User"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Rarely"	"Never"	"Wikimedia"	"Find freely usable images"	"none"	"none"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"-"	"Probably people that would rather publish their results in a highly ranked conference or journal which do not necessarily provide open access. The reward system should be inversed so that those people would get the most academic recognition that publish their data openly so that others can investigate it."	"-"	"Yes, I confirm that I want to participate - please submit my responses"	""
"240"	"0.800000011920929"	"55-64"	"Male"	"Graduate degree"	"France"	"Advanced beginner"	"Advanced beginner"	"Academia"	"University Marie & Louis Pasteur"	"https://www.univ-fcomte.fr/"	"Rarely"	"Yes"	"Dublin Core"	""	"Rarely"	"Much"	"Rarely"	"public-lod.w3.org\nhttp://www.language-archives.org\nhttp://lrl-diffusion.univ-bpclermont.fr/mulce/metadata/repository/mulce-sr.xml"	"Very unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Often"	"https://www.data.gouv.fr/fr/"	"Getting trustworthy data for my students exams (Data treatment)"	"none"	"xml"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Little"	"Other (please specify)"	"XML"	"Often"	"Never"	"Rarely"	"Often"	"Rarely"	"Often"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"MULCE"	"http://lrl-diffusion.univ-bpclermont.fr/mulce/metadata/repository/mulce-sr.xml"	"year 2007"	"2009"	"Share learning corpora for research purposes"	"Somewhat good: we were able to define XML description of our very rich and various data."	"The OAI-MPI protocole and description format ; Letec XML description format (that we defined)"	"check the possible reuse and take care of the coherence of the data"	""	""	"No"	"Yes, I confirm that I want to participate - please submit my responses"	""
"241"	"0.899999976158142"	"25-34"	"female"	"Graduate degree"	"Germany"	"Proficient"	"Proficient"	"Academia"	""	""	"Often"	"Yes"	""	""	"Often"	"Much"	"Rarely"	""	"Somewhat familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Often"	"Rarely"	""	""	""	""	""	""	""	"Little"	"CSV"	""	"Rarely"	"Never"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Somewhat important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"NA"	""	"NA"	""	""	""	""	""	""	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"242"	"0.800000011920929"	"45-54"	"Male"	"Professional degree"	"Lithuania"	"Proficient"	"Proficient"	"Academia"	"Lithuanian Data Archive for Social Sciences and Humanities"	"https://lida.dataverse.lt"	"Always"	"Yes"	"DDI, DC, DataCite, schema.org"	"We already use it."	"Always"	"Much"	"Never"	"gesis.org\neuropeansocialsurvey.org\nhttps://lida.dataverse.lt"	"Somewhat familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very familiar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"All"	"CSV,Other (please specify)"	"SPSS, Excel, R, TXT"	"Often"	"Never"	"Rarely"	"Rarely"	"Often"	"Often"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Most Important Problems in Lithuania, 2022-"	"This project collects and publishes survey data. The purpose of the study: to investigate Lithuanian public agenda and to measure Lithuanian public opinion on the most important socio-political problems in Lithuania. Three datasets published: https://hdl.handle.net/21.12137/PEBAHL, https://hdl.handle.net/21.12137/7MIKLW and https://hdl.handle.net/21.12137/YZJGPY."	"2022"	"Ongoing"	"The purpose of the study: to investigate Lithuanian public agenda and to measure Lithuanian public opinion on the most important socio-political problems in Lithuania. The data are open access in order to provide researchers with longitudinal data on public agenda in Lithuania."	"Successful."	"DDI, www.comparativeagendas.net"	"Opening data requires resources, but it is worth it."	"Too little incentives and workflows."	"Data published not in trustworthy repositories."	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"243"	"0.5"	"55-64"	"M"	"Undergraduate degree"	"United States of America"	"Advanced beginner"	"Advanced beginner"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"244"	"0.800000011920929"	"25-34"	"male"	"Secondary Diploma or Equivalent"	"United States of America"	"Proficient"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Always"	"Much"	"Rarely"	"Wikidata"	"Somewhat familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	""	""	"Somewhat agree"	""	"Somewhat agree"	"Strongly agree"	""	""	""	"Somewhat agree"	"Somewhat agree"	""	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Good"	""	""	""	"Often"	"Never"	"Wikidata"	""	"SPARQL"	""	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	""	""	"Never"	"Never"	"Never"	"Rarely"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Strongly disagree"	"Strongly disagree"	""	""	""	""	""	""	""	""	""	""	""	""	""
"245"	""	"75 or older"	""	"Professional degree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"246"	"0.899999976158142"	"55-64"	"Female"	"Graduate degree"	"Canada"	"Expert"	"Advanced beginner"	"Academia"	"Carleton University"	""	"Rarely"	"Yes"	"Depends on the research team"	"I am not a creator of metadata but I am and advocate for it and study it and write about it.  If I deposit data in the repository they will have metadata."	"Often"	"All"	"Rarely"	"Too many to list. "	"Very familiar"	"Very familiar"	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"User"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Rarely"	"https://search.open.canada.ca/opendata/"	"eduational"	"not applicable"	"iso19115"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"interoperability, data quality, lack of supporting documentation with the data such as methodological guides and data dictionnaries and a lack of context about the data"	"this is too big a question for a survey"	"you can call me if you like"	"Yes, I confirm that I want to participate - please submit my responses"	""
"247"	"0.899999976158142"	"35-44"	"male"	"Graduate degree"	"Germany"	"Expert"	"Proficient"	"Academia"	"Karlsruhe Institute of Technology"	"kit.edu"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"248"	"1"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"249"	"0.800000011920929"	"45-54"	"Female"	"Graduate degree"	"Australia"	"Proficient"	"Proficient"	"Academia"	"University of Adelaide"	"www.adelaide.edu.au"	"Often"	"Yes"	"We use Datacite metadata standards for minting DOIs and publishing metadata. The Library advocates the use of community-endorsed vocabularies and metadata standards to improve interoperability and sustainability. As we support thousands of researchers and research students across all disciplines, take up of dataset level metadata is mixed across the institution. Some disciplines are very mature in this area and many are not. "	"If DDI is focussed on social science data, the Library would commit more resources to supporting these metadata standards if demand from our researchers was evident. So a complementary combination of streams of outreach and education that are focussed on researchers and focussed on infrastructure personnel - separately - might help. We try and keep across the priorities for all disciplines, but priority can be given when the research community are very enthusiastic. "	"Often"	"Unsure"	"Often"	"https://ardc.edu.au/researcher/\nARDC communities of practice, including repositories, sensitive data interest groups, Institutional underpinnings network.\nFigshare administrators' communities\nCouncil of Australian University Directors of IT (CAUDIT)\nCouncil of Australian University Librarians (CAUL)\nAustralasian eResearch Organisations (AeRO)\n"	"Somewhat unfamiliar"	"Very familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Little"	"Other (please specify)"	"I work in research infrastructure, administering the platforms for others to publish open data"	"Often"	"Often"	"Often"	"Often"	"Rarely"	"Often"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"I administer open data tools at the University, I work on some internal community projects and with individual researchers or teams "	"N/A"	"N/A"	"N/A"	"N/A"	"N/A"	"N/A"	"Be bold, start with achievable goals, test the waters with small scale/ low risk datasets so that you can observe the benefits for individual researchers and projects. Discoverability is key, and no one is doing this perfectly - FAIR is a spectrum! "	"This is all a continuous work in progress, there are many gaps, but we keep working at it. My advocacy would be helped by some well-articulated data re-use success stories. Due to the depth at which data re-use would be evident (e.g. in certain discipline specific academic journals) it can be difficult for infrastructure personnel to find and describe case studies of things going well. Real world impact, simply and emphatically described, would help in our advocacy toolkit. "	"Commercialism. I don't have any ideas about mitigation, apart from continuing to contribute high quality, rigorous open and FAIR data from authoritative sources. "	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"250"	"0.699999988079071"	"35-44"	"female"	"Graduate degree"	"South Africa"	"Proficient"	"Proficient"	"Academia"	"University of Johannesburg"	"https://www.uj.ac.za/"	"Always"	"Yes"	"descriptive metadata"	"Technical Support and Infrastructure, Workshops and Training, Metadata Editors and Publishing Software"	"Always"	"Much"	"Never"	"UJ data repository, Figshare sa community"	"Somewhat familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat familiar"	"Very familiar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"CSV"	""	"Often"	"Never"	"Rarely"	"Never"	"Never"	"Never"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"none"	"no project "	"have not done a project yet"	"not applicable"	"not applicable"	"n/a"	"n/a"	"n/a"	"the main gaps lie in incomplete and non-binding legal frameworks, poor data quality and management practices, low demand and usage, negative perceptions, and resource and knowledge disparities. Addressing these gaps requires coordinated policy development, institutional capacity building, infrastructure investment, and efforts to stimulate demand and trust in open data"	"The most significant threat to quality data on the web is the proliferation of inaccurate, incomplete, inconsistent, and outdated information—often exacerbated by the sheer volume of data, lack of standardization, and insufficient data governance. These problems are compounded by human error, automation without proper oversight, and the rapid, sometimes careless, integration of data from multiple sources"	"no"	"Yes, I confirm that I want to participate - please submit my responses"	""
"251"	"0.899999976158142"	"45-54"	"male"	"Professional degree"	"France"	"Proficient"	"Proficient"	"Government, Public Sector"	"CNRS LACITO"	"https://lacito.cnrs.fr/"	"Often"	"Yes"	"OLAC (based on Dublin Core); OAI-PMH"	"We are currently able to have know-how internally. \nConcerning specifically DDI, a better balance in terms of participating countries (including \"Global South\") would probably help adoption. (I was not aware of DDI before.)"	"Always"	"All"	"Rarely"	"https://cocoon.huma-num.fr/\nhttps://pangloss.cnrs.fr/\nhttps://osf.io/\nZenodo\nhttps://groupes.renater.fr/sympa/info/accesouvert\nhttps://www.delaman.org/"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Very unfamiliar"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Provenance & Integrity (unchanged from a trusted source)"	"Very Good"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Often"	"Rarely"	"https://pangloss.cnrs.fr/"	"research on endangered languages and cultures"	"Python"	"OLAC, OAI-PMH; XML"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Much"	"Other (please specify)"	"XML"	"Often"	"Rarely"	"Often"	"Never"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"documentation of the Yongning Na language (a minority language of China)"	"To do linguistic and anthropological research on the basis of a substantial collection of first-hand data on an endangered language. The documentation part of the project is explained here: https://pangloss.cnrs.fr/corpus/Yongning_Na?mode=pro&lang=en"	"It's a long-term project beginning in 2006. The most recent phase is beginning this year (emphasis on lexicon elicitation recordings)."	"It is ongoing. Again, it's a long-term thing, for about 15 years ahead if all goes well."	"The language is on the way out, so collecting 'disposable' data means the language will die out again when the data become inaccessible. So, creating a sizeable and reliable corpus and making it available online is of the essence. With a good data management design, each resource improves the record. The list of documents appears as part of a World Wide synthesis thanks to OLAC: \nhttp://www.language-archives.org/language/nru\nRich metadata is essential for use, especially as the corpus gets bigger. The metadata are currently not rich enough but the groundwork is laid."	"Somewhat successful; on a good path"	"Document Type Definition: Pangloss Collection XML for texts and word lists (as explained here: https://shs.hal.science/halshs-01003734/file/Michailovsky_et_al2014_PanglossCollection.pdf)"	"Plan early; be in touch with a first circle of motivated colleagues that should by all means include engineers *and archivists*; work with collaborators who share a commitment to Open Science; and be braced to spend a large amount of time (all the time it takes) to personally do the footwork (careful data curation). Listen to the experimented specialists to avoid mistakes (naming conventions, data management workflows, data deposit/electronic publication workflows)."	"Insufficient recognition of open data management in career evaluation for researchers, making data curation less 'time-efficient' as a career investment in terms of recognition (\"CV building\"). This is a reeeally bad situation which means that careful data curation could remain a minority practice."	"Commercial predation?\nHow to mitigate it: steer clear of it --- only use websites of Open Science projects, only use free software?\n(it's a big question)"	"Bon courage :)"	"Yes, I confirm that I want to participate - please submit my responses"	""
"252"	"0.600000023841858"	"35-44"	"female"	"Undergraduate degree"	"Canada"	"Expert"	"Proficient"	"Government, Public Sector"	"Province of NS "	"https://beta.novascotia.ca/"	"Often"	"Yes"	"We have open data metadata standards."	"A bigger team or more time to focus on such work - hope is we will be doing so soon. "	"Often"	"Much"	"Rarely"	"ODI, CODS, ODAG "	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Somewhat familiar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"CSV"	""	"Rarely"	"Rarely"	"Rarely"	"Often"	"Often"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Reviewing and renewing a group terms of reference."	"No, it does not. It will be establishing a community of practice. "	"A few months ago."	"It is ongoing."	"Bringing open data partners together to talk about modernizing the program and communicating together openly. "	"It is ongoing but the thought is is will remove some barriers, create efficiencies, and build relationships. "	"We consulted our policy and process docs. "	"It is in interesting lens to pull from. There is always more to do and try. "	"We are looking to renew our current framework. Hoping to move forward with items like data sharing, metadata requirements, and interoperability baked into systems. "	"It would be nice if data ethics and laws were more prevalent such that systems couldn't simply scrape and use data without consent or abiding copyright/trademark laws. "	"Loved the links to content, some were new to me and will be investigating them shortly. I will pass this survey on to my team, as well. "	"Yes, I confirm that I want to participate - please submit my responses"	""
"253"	"0.899999976158142"	"55-64"	"Male"	"Professional degree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"254"	"0.800000011920929"	"35-44"	"Female"	"Graduate degree"	"Canada"	"Proficient"	"Advanced beginner"	"Academia"	"University of Victoria"	"https://www.uvic.ca/"	"Always"	"Yes"	"Dublin Core, PREMIS, METS, DDI"	"Technical Expertise"	"Always"	"Much"	"Often"	"Research Data Alliance (RDA), CODATA, Open Knowledge Foundation, Canlib_Data listserv, DDI Users List, GitHub Repositories, International Association for Social Science Information Service and Technology (IASSIST), International Federation of Library Associations and Institutions (IFLA)"	"Somewhat unfamiliar"	"Very familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat familiar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Always"	"Always"	"Dataverse"	"Teaching, access, and assistance with perservation"	"pyDataverse"	"Dublin Core"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Much"	"CSV"	""	"Often"	"Rarely"	"Rarely"	"Often"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Unsure what you mean"	"no thank you"	"Again, not sure what you mean"	"not sure what you mean"	"unknown"	"unknown"	"unknown"	"unknown"	"Current open data efforts are limited by inconsistent policies on licensing, privacy, and sustainability, as well as by tools that lack robust metadata support, user-friendly interfaces, and integration with research workflows. These gaps hinder data discoverability, reuse, and long-term preservation."	"The biggest threat to quality data on the web is the widespread dissemination of poorly documented, unverified, or biased datasets, which undermines trust and leads to flawed analysis. This can be mitigated by enforcing metadata standards, peer review of datasets, and transparent provenance tracking to ensure accountability and reproducibility."	"no thank you"	"Yes, I confirm that I want to participate - please submit my responses"	""
"255"	"0.899999976158142"	"35-44"	""	"Graduate degree"	"Poland"	"Advanced beginner"	"Novice"	"Non-Governmental Organization (NGO)"	"Wikimedia"	"wikimedia.pl"	"Rarely"	"No"	""	""	"Rarely"	"Little"	"Often"	""	"Somewhat unfamiliar"	""	""	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"256"	"0.899999976158142"	"55-64"	"Mail "	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"257"	"0.699999988079071"	"35-44"	"Female"	"Graduate degree"	"Canada"	"Expert"	"Proficient"	"Government, Public Sector"	"Government NS"	"https://data.novascotia.ca/"	"Always"	"Yes"	"Dublin core was looked at when setting up mandatory metadata fields"	"We need data governance in place and to have data catalogues put onto systems. Right now we ask for metadata for open dataset release but it isn't required in terms of all data."	"Always"	"Much"	"Often"	"ODI, CODS"	"Somewhat unfamiliar"	"Very familiar"	"Somewhat familiar"	"Very familiar"	"Somewhat familiar"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Rarely"	"Rarely"	"https://data.novascotia.ca/"	"To ensure that the website maintains good quality to users"	""	"It is not listed "	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Much"	"CSV"	""	"Often"	"Rarely"	"Rarely"	"Often"	"Often"	"Often"	"Very important"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"OD Portal upgrade"	"Updating the portal to open source instead of provider driven"	"2024"	"Ongoing until 2026"	"We want more automation in open data and being able to do refreshes seamlessly. This requires a lot of pipelines and data catalogue work so ensure metadata is available."	"Beginning steps to optimistic however unsure we can maintain what our users are used to having.  Likely this will change how our data contacts work as well so hard to say what success will be."	"We are in the part of the project where we are talking to others across Canada to see what they are using and what they wished they had."	"Ensure that you have the latest version of the data or note when the data was accessed. Hopefully there is a data dictionary or something attached that will describe the data"	"There is a conflict on what can be released in regards to data released on Government of Canada site. I would like to release a provincial lens but others are not willing to do this. Also there are challenges getting approval sign off for data release. Data can be poor quality if collected via a survey or collected by an outside organization on behalf of the government."	"Stale data. Data that is release and never updated. Multiple sources of data where you don't know what the \"source of truth\" is."	"no"	"Yes, I confirm that I want to participate - please submit my responses"	""
"258"	"0.800000011920929"	"35-44"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"259"	"0.400000005960465"	"25-34"	"Cis woman"	"Graduate degree"	"United States of America"	"Proficient"	"Proficient"	"Academia"	"Denver Museum of Nature and Science (public museum, not government or academia)"	"dmns.org"	"Often"	"Yes"	"I work in the Zoology collection, we use DarwinCore and DublinCore generally"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"260"	"0.699999988079071"	"35-44"	"Male"	"Graduate degree"	"Mexico"	"Proficient"	"Proficient"	"Academia"	"Universidad Nacional Autónoma de México"	"https://www.unam.mx/"	"Rarely"	"No"	""	"https://guides.dataverse.org/en/5.11.1/user/index.html#"	"Often"	"Much"	"Rarely"	"https://data.scielo.org/dataverse/scielomexico"	"Somewhat unfamiliar"	"Very familiar"	"Somewhat familiar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Little"	"CSV"	""	"Often"	"Never"	"Never"	"Rarely"	"Often"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Dataverse SciELO Mexico"	"https://data.scielo.org/dataverse/scielomexico"	"apr-2024"	"It still runs"	"To be as standardized and concrete as possible."	"We still have a long way to go, especially in convincing journals to apply to deposit their open data. In general, what we have advanced so far has been carried out good."	"In general we use the Dataverse model to structure the metadata we use for this data library. The schema we use is that of the SciELO guide: Research Data Curation Guide for Editorial Teams: https://wp.scielo.org/wp-content/uploads/Guia_curadoria_es.pdf"	"The most important advice for those considering a project using open data is to rigorously test the implementation of the standards required for open data publication. It is essential to have a clear understanding of the steps involved in structuring and curating data according to the FAIR principles (Findable, Accessible, Interoperable, and Reusable). Furthermore, it is crucial to assess the technical capacities of the team to ensure they are adequately equipped to manage and deliver the services associated with open data initiatives effectively."	"At least in my country, Mexico, there is no clear governmental policy regarding the production and use of open data, either from a technical or ethical perspective. While there have been efforts to promote transparency through open data platforms, these initiatives often lack continuity, standardized practices, and sufficient legal or institutional support. Additionally, there is limited guidance on ethical considerations, such as data privacy, informed consent, or equitable access and use. This creates a gap between the potential of open data and its practical, responsible implementation."	"One of the biggest threats to quality data on the web is the lack of data literacy among authors, students, and researchers. Many users are unaware of how to assess, produce, or responsibly use open data. Additionally, there is a shortage of research that demonstrates the tangible, positive impact of the open data movement on society. Without this evidence, support and adoption remain limited.\n\nTo mitigate this, it is essential to launch awareness programs and implement practical applications of open data in professional fields. Integrating open data practices into education, journalism, public policy, and other sectors could help build a culture of responsible and meaningful data use."	"Open data represents a new and innovative way to communicate research findings and to make scientific processes more transparent, helping to combat bad research practices. To fully realize its potential, we need to build a strong, collaborative community and address these challenges on a global scale."	"Yes, I confirm that I want to participate - please submit my responses"	""
"261"	"0.899999976158142"	"25-34"	"female"	"Graduate degree"	"United States of America"	"Proficient"	"Proficient"	"Enterprise, Private Sector"	"Chicago Academy of Sciences"	"https://naturemuseum.org/"	"Always"	"Yes"	"Darwin, Dublin, Getty, Nomenclature"	"unknown"	"Often"	"Unsure"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"262"	"0.699999988079071"	"35-44"	"Female"	"Graduate degree"	"Switzerland"	"Proficient"	"Advanced beginner"	"Academia"	"HEP Vaud"	"https://www.hepl.ch/accueil.html"	"Often"	"No"	""	"I think research data management practices are slowly integrated into the research culture at our UTE. Standardization will come in time, I am not giving up. "	"Rarely"	"Little"	"Rarely"	"'- SRDSN (Swiss Research Data Support Network)\n- SwissUBase\n- FORS\n"	"Very unfamiliar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"CSV,RDF,Other (please specify)"	".txt, .odt, .pdf/A, .ods, code"	"Often"	"Often"	"Often"	"Often"	"Rarely"	"Never"	"Somewhat important"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"not really relevant : I am a data steward / open science manager, I help researcher with data management"	""	"January 2025"	"It is on going"	""	""	""	""	""	""	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"263"	"0.699999988079071"	"45-54"	"female"	"Professional degree"	"United Kingdom of Great Britain and Northern Ireland"	"Advanced beginner"	"Novice"	"Academia"	"ue"	""	"Often"	"Yes"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"264"	"0.899999976158142"	"35-44"	"cis female"	"Graduate degree"	"Netherlands"	"Proficient"	"Advanced beginner"	"Academia"	"DANS"	"https://dans.knaw.nl/nl/"	"Always"	"Yes"	"We use Dataverse software which allows metadata to be exported in various formats including DC, DDI, DataCite, Schema.org, Json, json-lD, OAI_ORE"	"We are already using DDI on a dataset level to describe datasets; An easy way (tool) to create metadata about variables and questions in DDI would be helpful to promote the use of DDI to a wider community. "	"Rarely"	"Unsure"	"Rarely"	"I am not sure how to answer this question as I dont \"work\" with open data in the sense that I dont analyse or process the data myself but I work in providing infrastructure to open data. \n\nAs such we are very much involved in various networks see: https://dans.knaw.nl/en/collaborations/ https://dans.knaw.nl/en/collaborating-partners/"	"Somewhat familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly disagree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Little"	"Other (please specify)"	"Our repository provides data in the format that is chosen by the depositor but we have recommendations on preferred formats: https://dans.knaw.nl/en/file-formats/"	"Often"	"Rarely"	"Often"	"Often"	"Often"	"Often"	"Somewhat important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Unsure "	"Unsure"	"-"	"-"	"-"	"-"	"-"	"-"	"'- Lack of clarity and legal expertise on how to interpret GDPR\n- Growth of AI requires policies on open data and responsible AI use \n- Clear agreements on how to perform quality control of available data \n- With the growth in the amount of available data, policies around data selection are needed "	"Poor quality data published in repositories that do little curation; \nSupport trustworthy digital repositories and raise awareness of the importance of curation\nImprove data literacy and critical assessment of available data amongst students and in early career settings "	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"265"	"0.400000005960465"	"35-44"	"Male"	"Graduate degree"	"Canada"	"Proficient"	"Advanced beginner"	"Government, Public Sector"	"Ministry of Northern Economic Development and Growth"	"https://www.ontario.ca/page/ministry-northern-economic-development-and-growth"	"Never"	"No"	""	"training"	"Often"	"Much"	"Rarely"	"https://www150.statcan.gc.ca\nhttps://data.ontario.ca/\nhttps://search.open.canada.ca/data/"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"User"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Very Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Rarely"	"Rarely"	"https://www150.statcan.gc.ca/"	"Economic models"	"R"	"Statcan API"	"Strongly agree"	"Strongly agree"	"Strongly agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Data suppression under the privacy act of Canada for rural and remote areas in my areas of interest. "	"Synthetic data without any metadata"	"no"	"Yes, I confirm that I want to participate - please submit my responses"	""
"266"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"267"	"0.899999976158142"	"55-64"	"Male"	"Graduate degree"	"New Zealand"	"Advanced beginner"	"Novice"	"Academia"	"Waipapa Taumata Rau"	"www.auckland.ac.nz"	""	""	""	"I don't know, I'm just a Masters student."	"Rarely"	"Little"	""	"www.stats.govt.nz\nwww.temanararaunga.maori.nz\nwww.kahuiraraunga.io\nfigure.nz\nwww.analytics.org.nz"	"Very unfamiliar"	"Somewhat familiar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"User"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Rarely"	"Rarely"	"www.stats.govt.nz"	"Standardising research data for sub-populations with the nationally-resident population to avoid under- or over-counting some cohorts, especially historically disadvantaged groups."	"SQL"	""	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"It's fairly technical and is sometimes not available at the granular level I would prefer."	"The proliferation of poor data, including that provided by generative AI, and it's equally poor interpretation and representation, and the lack of education required to enable people to critically evaluate how trustworthy, useful, or reliable it is (not just AI-generated data, all data)."	"We need more Indigenous-led frameworks and support for them, so that historically mainstream tools aren't seen as the only appropriate option.  The status quo tends to proliferate deficit-focussed narratives, instead of strengths-based narratives."	"Yes, I confirm that I want to participate - please submit my responses"	""
"268"	"0.899999976158142"	"25-34"	"Female"	"Graduate degree"	"Switzerland"	"Novice"	"Novice"	"Academia"	"university of geneva"	"university of geneva"	"Often"	"No"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"269"	"0.600000023841858"	"35-44"	"Male"	"Professional degree"	"Germany"	"Proficient"	"Advanced beginner"	"Government, Public Sector"	"x"	"y"	"Always"	"Yes"	"x"	"DDI"	"Often"	"Little"	"Rarely"	"bjbjhbj"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"User"	"None"	"Completeness (spatial / temporal / demographic) "	"Very poor"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Often"	"Never"	"c"	"ds"	"sdcd"	"ds"	"Strongly disagree"	"Strongly disagree"	"Somewhat disagree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"dssa"	"dss"	"dsss"	"No, I wish to withdraw my consent - don't submit my responses"	"Yes, do not submit my responses"
"270"	"0.800000011920929"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"271"	"0.800000011920929"	"45-54"	"Female"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"272"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"273"	"0.600000023841858"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"274"	"0.899999976158142"	"65-74"	"Na"	"Professional degree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"275"	"0.899999976158142"	"25-34"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"276"	"0.800000011920929"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"277"	"0.899999976158142"	"25-34"	"Male"	"Undergraduate degree"	"Canada"	"Proficient"	"Advanced beginner"	"Government, Public Sector"	"Canadian Museum of Nature"	"nature.ca"	"Often"	"Yes"	"We use the Darwin Core standard for publishing data to public online repositories such as GBIF."	"Meeting with Museum Administrators to explain how DDI would be applied to a natural history museum"	"Always"	"Much"	"Rarely"	"GBIF\nGGBN\n"	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Much"	"Other (please specify)"	"online public repositories such as GBIF, GGBN, and inaturalist"	"Rarely"	"Rarely"	"Never"	"Often"	"Often"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Formatting EMu records for GBIF"	"https://www.gbif.org/publisher/a41250f0-7c3e-11d8-a19c-b8a03c50a862"	"2021"	"ongoing"	""	""	""	""	""	""	""	""	""
"278"	"0.600000023841858"	"25-34"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"279"	"0.899999976158142"	"25-34"	"Female"	"Graduate degree"	"Canada"	"Proficient"	"Novice"	"Academia"	"McMaster University"	"https://rdm.mcmaster.ca/"	"Always"	"No"	""	"Easy how-to guides\n"	"Often"	"Much"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"280"	"0.899999976158142"	"25-34"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"281"	"0.800000011920929"	"35-44"	"man"	"Graduate degree"	"Canada"	"Expert"	"Novice"	"Government, Public Sector"	"City of Ottawa"	"ottawa.ca"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"282"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"283"	"0.800000011920929"	"35-44"	"Male"	"Professional degree"	"Pakistan"	"Novice"	"Novice"	"Government, Public Sector"	"Sukkur IBA University"	"www.iba-suk.edu.pk"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"284"	"0.800000011920929"	"55-64"	"Female"	"Graduate degree"	"Poland"	"Advanced beginner"	"Novice"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"285"	"0.600000023841858"	"45-54"	"Woman"	"Undergraduate degree"	"Canada"	"Advanced beginner"	"Novice"	"Non-Governmental Organization (NGO)"	"CHIMA"	"https://www.echima.ca/"	"Never"	"No"	""	""	"Rarely"	"None"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"286"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"287"	"0.600000023841858"	"17 or younger"	"8"	"Secondary Diploma or Equivalent"	"Andorra"	"Novice"	"Advanced beginner"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"288"	"0.600000023841858"	"55-64"	""	"Professional degree"	"China"	"Expert"	"Expert"	"Academia"	"xi'an jiaotong  university "	"www.lib.xjtu.edu.cn "	"Often"	"No"	""	""	"Rarely"	"Little"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"289"	"0.899999976158142"	"45-54"	"female"	"Graduate degree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"290"	"0.899999976158142"	"55-64"	"Female"	"Graduate degree"	"Singapore"	"Proficient"	"Proficient"	"Academia"	"Singapore Management University"	"https://smu.edu.sg"	"Always"	"Yes"	"Dublin Core, DataCite"	"More publicity and getting vendors to adopt DDI"	"Often"	"Little"	"Rarely"	"Library Carpentry, Research Data Alliance"	"Somewhat familiar"	"Very familiar"	"Somewhat familiar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Rarely"	"Rarely"	"Zenodo, OSF, Github"	"Sourcing for relevant data, sourcing for data that faculty uploaded to other platforms"	"A range depending on the source"	"Not sure"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Little"	"CSV"	""	"Often"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"SMU Research Data Repository https://researchdata.smu.edu.sg/"	"https://researchdata.smu.edu.sg/"	"2019"	"Ended in 2021"	"Support faculty with the infrastructure to store and to share their data"	"Looked at usage, number of datasets, engagement"	"Used a commercial platform"	"Find out how your users are currently storing their data, have a policy in place, engagement with faculty"	"Our policy accommodates a wide range of research data, commercial to self-collected, and where to store the data, the faculty makes the decision how to store the data "	"Broken links, being behind paywalls, \"contact the researcher for the data\" statements"	"NA"	"Yes, I confirm that I want to participate - please submit my responses"	""
"291"	"0.5"	"35-44"	"male"	"Graduate degree"	"Belgium"	"Expert"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"292"	"0.899999976158142"	"25-34"	"Female"	"Graduate degree"	"Belgium"	"Proficient"	"Proficient"	"Academia"	"KU Leuven"	"https://kuleuven.be/"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"293"	"0.899999976158142"	"35-44"	"F"	"Graduate degree"	"Switzerland"	"Expert"	"Proficient"	"Government, Public Sector"	"EPFL"	"www.epfl.ch"	"Often"	"Yes"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"294"	"0.899999976158142"	"45-54"	"male"	"Graduate degree"	"United States of America"	"Advanced beginner"	"Advanced beginner"	"Non-Governmental Organization (NGO)"	"SIL Global"	"https://www.sil.org/resources/language-culture-archives"	"Often"	"Yes"	"modified Dublin Core"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"295"	"0.899999976158142"	"55-64"	"Female"	"Graduate degree"	"United States of America"	"Expert"	"Proficient"	"Government, Public Sector"	"American Geophysical Union (AGU)"	"agu.org"	"Rarely"	"Yes"	"DOIs for peer-reviewed publications and EoS magazine articles; publishing metadata that connects cited data and software to a publication; DOI on our published reports"	"Guidance materials for our members; workshops for our members."	"Often"	"All"	"Often"	"ESIP's Open Science and Data Help Desk; AGU data guidance data.agu.org; RDA recommendations; FORCE11 recommendations; ESIP recommendations"	"Somewhat familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"User"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Always"	"Always"	"All Earth, space, and environmental digital objects repositories"	"Track where data are located; support other researchers to find the best place to deposit their data, and the best place to find data."	"Web tools"	"FAIR, CARE, Trust, DataCite metadata"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Discipline specific repositories need to be better funded and better placed as a community resources for researchers;  Not all data needs to be documented at the highest metadata standards.  We need better guidelines to help disciplines navigate this; Researchers need access to support for data curation; Research workflows need to manage metadata, provenance necessary to higher quality metadata at the time of deposit;  Version control needs to be supported to allow for corrections or updates to preserved datasets. "	"Defunding or underfunded data infrastructure and repositories. "	"Thank you for doing this survey. "	"Yes, I confirm that I want to participate - please submit my responses"	""
"296"	"0.899999976158142"	"55-64"	"male"	"Graduate degree"	"Finland"	"Expert"	"Proficient"	"Government, Public Sector"	"Tampere University"	"www.tuni.fi"	"Rarely"	"No"	""	"I do not know"	"Rarely"	"Little"	"Often"	"normally journals"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"User"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Timeliness (speed of data release),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Rarely"	"Rarely"	"https://www.avoindata.fi/en"	"support my teaching"	"None"	"Do not  know"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"Geopolitical risks make open data vulnerable"	"Geopolitics and hackering"	"Thanks for your work!"	"Yes, I confirm that I want to participate - please submit my responses"	""
"297"	"1"	"45-54"	"Female"	"Graduate degree"	"United States of America"	"Expert"	"Proficient"	"Government, Public Sector"	"NOAA"	"noaa.gov "	"Often"	"Yes"	"ISO 19115-2"	"crosswalks and transformation tools"	"Often"	"Much"	"Often"	""	"Somewhat familiar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Provider"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	"All"	"CSV,Other (please specify)"	"netCDF, HDF"	"Often"	"Never"	"Rarely"	"Often"	"Often"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"NOAA Data Catalog "	"data.noaa.gov "	"10+ years ago "	"ongoing "	"data discovery and access "	""	"ISO 19115, DCAT-US "	""	""	"Hard to identify the authoritative source when copies of open data exist "	""	"Yes, I confirm that I want to participate - please submit my responses"	""
"298"	"0.899999976158142"	"35-44"	"male"	"Graduate degree"	"Poland"	"Proficient"	"Proficient"	"Academia"	"Gdańsk University of Technology"	"http://pg.edu.pl/"	"Often"	"Yes"	"DataCite schema.org JSON-ld"	"providing maDMP\n"	"Often"	"Much"	"Often"	"EOSC Federation buildup group\nRDA \nCompetence Network for Open Science - Data Steward PL"	"Very familiar"	"Very familiar"	"Somewhat unfamiliar"	"Somewhat unfamiliar"	"Somewhat familiar"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Provenance & Integrity (unchanged from a trusted source)"	"Poor"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Rarely"	"Rarely"	"mostwiedzy.pl"	"research, providing data\n"	""	""	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Much"	"CSV"	""	"Never"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Somewhat important"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"PEN - Policy Evaluation Network"	"https://www.jpi-pen.eu/\n"	"prefer not to answer"	""	""	""	""	""	""	"Relying on AI produce untrustworthy artifacts"	"no"	"Yes, I confirm that I want to participate - please submit my responses"	""
"299"	"0.899999976158142"	"45-54"	""	"Graduate degree"	"Singapore"	"Expert"	"Advanced beginner"	"Academia"	"NTU Library"	"https://www.ntu.edu.sg/education/libraries"	"Often"	"Yes"	"DC"	"We are focusing more of users' needs and not so much on tools/resources."	"Often"	"Much"	"Often"	"Dataverse community, Datacite support & expert group, OSF, and local task force / interest group."	"Very unfamiliar"	"Very familiar"	"Somewhat unfamiliar"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"300"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"301"	"0.899999976158142"	"55-64"	"Female"	"Graduate degree"	"United States of America"	"Proficient"	"Novice"	"Academia"	"Carleton College"	"https://carleton.edu"	"Rarely"	"No"	""	"Your questions are too narrowly defined for me to provide useful / generalizable responses.  For most of the past 30 years, I have been the person to do everything for the institution regarding research data management support.  My issues are far more basic than addressing a metadata standard at the institutional level. I'm persistently at the level of raising awareness that metadata matter and that the faculty/researchers with grants really could benefit from using a standard. These are one on one conversations. \n\nBecause I also work to teach a group of student workers about metadata, FAIR, CARE, Open Science, etc - from which a tiny minority would benefit from understanding how DDI fits into the larger environment of data management, I would benefit from having access to basic training that starts with explaining how DDI fits into the environment. This would need to be at the extreme - basic level.  Starting with someone who is unclear on what are metadata and how are they used. "	"Often"	"Unsure"	"Often"	"HA! .. I'm a generalist.  I work with whatever is needed to support the person I'm working with.  I can not list them.  I can say that I track IASSIST, RDA, ICPSR, DCC, IDCC, CODATA, and RDAP for keeping up with the world of data management. To a lesser extent, I monitor discussions from the Dataverse, OSF, and the (US) National Academy of  Sciences. "	"Somewhat unfamiliar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat familiar"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly agree"	"Both (User and Provider)"	"Little"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset),Lack of bias (no systematic “tilt”),Provenance & Integrity (unchanged from a trusted source)"	"Good"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	"Often"	"Often"	"N/A - also, the Qualtrics form isn't working properly in Safari. "	"N/A"	"N/A"	"N/A"	""	""	""	"Little"	"CSV,Other (please specify)"	"txt "	"Often"	"Often"	"Rarely"	"Rarely"	"Rarely"	"Rarely"	"Very important"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat disagree"	"Strongly disagree"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly disagree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Somewhat disagree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Broadcast News Transcripts"	"it's moving to ICPSR"	"2010"	"ongoing"	"? .. to make it more broadly available and reusable. "	"This question embeds a big assumption.  The project has evolved over the many years as the PI gradually accepted the logic of making the data public. \"Success\" in this case will be measured by a full upload to the main ICPSR archive. "	"I kept the tools & formats as basic as possible (csv & txt) The processing involved in capturing the transcripts was handled by undergraduate novices - so I emphasized the imperative to provide detailed code development.  Reuse does not require the use of the development code, but I think it is important to include it as part of the documentation. "	"Make sure the whole team is on board with the process of Open Science and revisit the principles as people are added to the project. Also, track your people from the start and never rely on human memory stores. If you are tempted by \"I'll so that later\" .. it's a flag that indicates danger. "	"The philosophy & processes that support Open Data need to be embedded in methods classes across the disciplines. In that way you'll capture the faculty as well as absolute novices. "	"Ignorance.  \n\nDefend the scientific method! Embed the principles of science and critical thinking across primary education.  \n\nThe lack of normalizing critical thinking (and a basic understanding of the scientific method) is a threat to individual autonomy as well as to democracy in general.  The defense of which will have to recover from a deficit; I fear that it is an open question whether people in the USA (and other  totalitarian states) will survive with personal autonomy.  "	"This form would have benefitted from having a social scientist trained in survey design look at it before distribution.  The entire section on FAIR was inconsistent. I don't know if all respondents will interpret what you were looking for in the same way.  (The question format for the rows did not match with the possible answer format of the columns.)  "	"Yes, I confirm that I want to participate - please submit my responses"	""
"302"	"0.899999976158142"	"45-54"	"femele"	"Secondary Diploma or Equivalent"	"France"	"Proficient"	"Advanced beginner"	"Academia"	"Univ Lille"	"https://www.univ-lille.fr/"	"Rarely"	"Yes"	"DOI"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"303"	"0.899999976158142"	"35-44"	""	"Graduate degree"	"Latvia"	"Expert"	"Proficient"	"Academia"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"304"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"305"	"0.899999976158142"	"25-34"	"Male"	"Graduate degree"	"Canada"	"Advanced beginner"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Often"	"Little"	"Always"	"CIHI, York Region , statistic Canada "	"Somewhat familiar"	"Very unfamiliar"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"306"	"1"	""	""	""	"Afghanistan"	"Novice"	"Novice"	"Government, Public Sector"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"307"	"1"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"308"	"0.800000011920929"	"25-34"	"Non-Binary Male"	"Undergraduate degree"	"Canada"	"Proficient"	"Novice"	"None (my interest in open data is as a private citizen)"	""	""	""	""	""	""	"Often"	"Much"	"Rarely"	"OpenStreetMap\nCity of Regina\nUniversity of Waterloo\nNRCan"	"Very unfamiliar"	"Somewhat unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Very unfamiliar"	"Strongly agree"	"Strongly disagree"	"Somewhat agree"	"Strongly agree"	"Somewhat disagree"	""	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Somewhat agree"	"Strongly agree"	"Somewhat agree"	"Somewhat disagree"	""	"Both (User and Provider)"	"Much"	"Completeness (spatial / temporal / demographic) ,Consistency (uniformity within the dataset)"	"Good"	"Somewhat agree"	"Somewhat agree"	"Somewhat agree"	"Often"	"Rarely"	"openstreetmap"	"Basemaps, queries, reference, community"	"python, javascript"	"OSM community standard"	"Strongly agree"	"Strongly agree"	"Somewhat agree"	"Much"	"Other (please specify)"	"changesets to osm"	"Rarely"	"Never"	"Rarely"	"Often"	""	"Rarely"	"Somewhat unimportant"	"Somewhat agree"	"Somewhat disagree"	"Strongly agree"	"Strongly disagree"	"Strongly agree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Strongly disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Strongly disagree"	"Somewhat agree"	"Somewhat agree"	"Somewhat disagree"	"Somewhat disagree"	"Somewhat agree"	"Somewhat agree"	"Openstreetmap"	"openstreetmap.org"	"I began contributing several years ago"	"ongoing"	"Building a community first map for the Regina area that reflects ground truth to the best extent possible"	"Ongoing and slow, but progress is being made"	"openstreetmap community standard, applied via the StreetComplete Enhanced Edition app"	"Check the data, don't expect perfection, respect the contributors"	"Despite mobile computing taking a larger share of the overall market over the past decade, development of user friends contribution tools has been slow. (This is not to disrespect the effort of volunteer developers creating such tools.) We might see a larger base of contributors if user-friendly applications like StreetComplete were abundant and discussed more often."	"The perception of volunteer driven open data being seen as \"unreliable citizen science\", which leads to it not being taken seriously or driving interest to contribute -- combined with the perception that corporate data systems are somehow more reliable. I feel that these perceptions lead to thoughts I've often heard like \"why do we need a map when we have google maps?\""	"Very happy to see U of R researchers take an interest in open data! I have been thinking about finding or creating a local group for OSM in Regina since I have yet to find anything around beyond at-large contributors. I feel that open data in the area is going to see growth in the coming years."	"Yes, I confirm that I want to participate - please submit my responses"	""
"309"	"0.699999988079071"	"35-44"	"Male"	"Graduate degree"	"Nigeria"	"Advanced beginner"	"Novice"	"Government, Public Sector"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"310"	"0.800000011920929"	"35-44"	"female"	"Graduate degree"	"Germany"	"Proficient"	"Advanced beginner"	"Academia"	"technical university of munich"	""	"Rarely"	"Yes"	"Dublin core"	""	"Rarely"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"311"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"312"	"0.899999976158142"	"55-64"	"Female"	"Post-secondary certificate"	"Germany"	"Proficient"	"Advanced beginner"	"Government, Public Sector"	"TIB – Leibniz Information Centre for Science and Technology "	"https://www.tib.eu/en/"	"Always"	"Yes"	"DCAT, schema, dataCite"	"metadata forms +  checker available "	"Often"	"Much"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"313"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"314"	"0.899999976158142"	"17 or younger"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"315"	"0.899999976158142"	"35-44"	"Male"	"Graduate degree"	"United States of America"	"Expert"	"Proficient"	"Academia"	"Ohio University Libraries"	"https://www.ohio.edu/libraries"	"Often"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"316"	"0.800000011920929"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"317"	"0.899999976158142"	"35-44"	"Female"	"Undergraduate degree"	"Ecuador"	"Proficient"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"318"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"319"	"0.899999976158142"	"18-24"	"man"	"Undergraduate degree"	"United States of America"	"Proficient"	"Proficient"	"Enterprise, Private Sector"	"hp"	"hp.com"	"Often"	"No"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"320"	"0.699999988079071"	"35-44"	"Male"	"Undergraduate degree"	""	"Proficient"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"321"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"322"	"0.899999976158142"	"35-44"	"female"	"Graduate degree"	"Canada"	"Proficient"	"Advanced beginner"	"Enterprise, Private Sector"	"Visnea Inc"	"visnea.org"	"Rarely"	"No"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"323"	"0.899999976158142"	"55-64"	"female"	"Graduate degree"	"United States of America"	"Proficient"	"Advanced beginner"	"Government, Public Sector"	"NOAA National Centers of Environmental Information"	"www.ncei.noaa.gov"	"Always"	"Yes"	"ISO 19115"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"324"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"325"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"326"	"0.899999976158142"	"35-44"	"Male"	"Graduate degree"	"Colombia"	"Proficient"	"Advanced beginner"	"Government, Public Sector"	"SiB Colombia"	"https://biodiversidad.co/"	"Always"	"Yes"	"Darwin Core, EML, Plinian Core, Dublin Core, National standards"	"We have already adopted some standards. Maybe controlled vocabularies could be beneficial for documentation."	"Always"	"All"	"Rarely"	""	"Somewhat unfamiliar"	"Very familiar"	"Very unfamiliar"	"Very unfamiliar"	"Somewhat unfamiliar"	"Strongly agree"	"Somewhat agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	""	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	"Strongly agree"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"327"	"0.5"	"45-54"	"Female"	"Undergraduate degree"	"Canada"	"Proficient"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"328"	"0.899999976158142"	"35-44"	"woman"	"Graduate degree"	"Canada"	"Proficient"	"Advanced beginner"	"Non-Governmental Organization (NGO)"	"Digital Reserach Alliance of Canada"	"alliancecan.ca"	"Always"	"Yes"	"Dublin Core, DataCite"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""
"329"	"0.899999976158142"	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""	""