BioSharing and the National Bioscience Database Center - joining forces to better serve the research community worldwide

Lead Research Organisation: University of Oxford
Department Name: Engineering Science

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
 
Description FAIRsharing is an informative and educational resource that describes and interlinks community-driven standards (such as minimum reporting guidelines, terminology artifacts, models/formats and identifier schemas), databases (both knowledgebases and repositories), and data policies. FAIRsharing monitors their evolution, tracking which standards are implemented in which databases, and which resources are recommended by journal and funder data policies. FAIRsharing mission is to: provide guidance to consumers, so accelerating the discovery, selection and use of relevant data and metadata standards, databases, and data policies with confidence; and help producers to increase the visibility of their resource outside of their immediate discipline, increasing the likelihood of their reuse, adoption and citation.
FAIRsharing already has a number of international users, as well as the number of journals, libraries and research data management groups recommending FAIRsharing to their authors, users and researchers, and number of members joining the FAIRsharing Working Group (WG) under the Research Data Alliance (RDA).
As part of this award, we work to map and align (where appropriate) database/repository metadata fields between FAIRsharing and the NBDC Integbio catalogue, towards a fully synchronised content transfer workflow to ensure database/repository information is accurate and identical across the two sites. Ultimately, these links will better serve the stakeholder community world-wide.
Exploitation Route As results of this award, we will be able to provide the community with unfettered access to the FAIRsharing registry via our API or the Integbio catalogue and the Life Science Database Cross Search (https://biosciencedbc.jp/dbsearch/ - Japanese only). We are also working with Integbio to provide SPARQL and API access to their data to FAIRsharing, and we have started to consider FAIR assessment metrics and how we can develop and display these on our respective websites. Combine these functionalities will better serve the stakeholder community world-wide, providing richer, interlinked and machine-readable content for the users. This will allow, for example, a tool to create DMP plans can better access and surface a list of relevant databases (and related standards) to the users for them to select from.
Sectors Digital/Communication/Information Technologies (including Software),Education

 
Description FAIRsharing (relaunched in 2017 from BioSharing) collaborates with and is used by a variety of major FAIR-driven global initiatives, research and infrastructure programmes, and other resources and services, with the aim of being an interoperable component in an ecosystem of complementary services. In this page we highlight the new collaborations and achievements, which has also been possible via the collaboration with the NBDC colleagues: https://fairsharing.org/communities
First Year Of Impact 2017
Sector Digital/Communication/Information Technologies (including Software)
Impact Types Cultural,Policy & public services

 
Description FAIRsharing features in the Case Study report by the UK the Open Research Data Task Force.
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/7753...
 
Description FAIRsharing is endorsed by the Research Data Alliance, as one of the few flagship outputs
Geographic Reach Multiple continents/international 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.rd-alliance.org/group/fairsharing-registry-connecting-data-policies-standards-databases-...
 
Description FAIRsharing is one of the elements mentioned in the "Framework for Discipline-specific Research Data Management" report by Science Europe.
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.scienceeurope.org/wp-content/uploads/2018/01/SE_Guidance_Document_RDMPs.pdf
 
Description FAIRsharing is one of the resources recommended by the EU EOSC "Turning FAIR into Reality" report.
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
 
Description FAIRsharing is one of the resources recommended by the UK Jisc "FAIR in Practice report".
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description FAIRsharing is recommended by major scholarly publishers and journals
Geographic Reach Multiple continents/international 
Policy Influence Type Influenced training of practitioners or researchers
URL https://fairsharing.org/communities#adopters
 
Description FAIRsharing is recommended by the STM association of scholarly publishers
Geographic Reach Multiple continents/international 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.stm-researchdata.org/
 
Description FAIRsharing is recommended in the "Horizon 2020 - Annotated Model Grant Agreement": guideline by the European Commission.
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
URL https://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/amga/h2020-amga_en.pdf
 
Description FAIRsharing is recommended in the "Sustainable and FAIR Data Sharing in the Humanities" report by the European Federation of Academies of Sciences and Humanities.
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
URL https://doi.org/10.7486/DRI.tq582c863
 
Description FAIRsharing is recommended in the "Top 10 FAIR Data & Software Things" guideline by the Library Carpentry.
Geographic Reach Multiple continents/international 
Policy Influence Type Influenced training of practitioners or researchers
URL https://librarycarpentry.org/Top-10-FAIR/
 
Description FAIRsharing is recommended in the "Turning FAIR into Reality" report by the European Commission's Expert Group on FAIR Data.
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
URL https://op.europa.eu/en/publication-detail/-/publication/7769a148-f1f6-11e8-9982-01aa75ed71a1/langua...
 
Description Nominated member of the FAIR European Data Champion Board
Geographic Reach Europe 
Policy Influence Type Membership of a guideline committee
URL https://www.fairsfair.eu/advisory-board/egfc
 
Description Nominated member of the GO-FAIR Executive Board
Geographic Reach Multiple continents/international 
Policy Influence Type Membership of a guideline committee
URL https://www.go-fair.org/go-fair-initiative/governance/executive-board/
 
Description EINFRA-EOSC - EOSC-Life
Amount £23,745,978 (GBP)
Funding ID 824087 
Organisation European Commission H2020 
Sector Public
Country Belgium
Start 03/2019 
End 02/2023
 
Description The FAIRsharing service: supporting the research life-cycle
Amount £742,702 (GBP)
Funding ID 212930/Z/18/Z 
Organisation Wellcome Trust 
Sector Charity/Non Profit
Country United Kingdom
Start 08/2019 
End 07/2023
 
Title Re-launching BioSharing as FAIRsharing and improving it 
Description FAIRsharing, now is a curated, informative and educational resource on data and metadata standards, inter-related to databases and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resource more discoverable, more widely adopted and cited. 
Type Of Material Improvements to research infrastructure 
Year Produced 2011 
Provided To Others? Yes  
Impact Launched in 2011, as BioSharing and re-launched as FAIRsharing in 2017, this resource is at the epicentre of FAIR-enabling activities, delivering guidance, tools and services with and for a variety of stakeholders. As these activities mature, we will implement them in, or connect them to, the FAIRsharing resource itself. FAIRsharing has a growing userbase encompassing institutions, libraries, journal publishers, infrastructure programmes, societies and other organizations or projects that in turn serve and guide individual researchers or other stakeholders on research data management matters. 
URL https://fairsharing.org/communities
 
Title Redevelopment of the FAIRsharing resource 
Description Funded by the new Wellcome Trust award (2019-2023), we are in the process or redesign and redeveloping FAIRsharing as an open source system, with new and friendly features to grow, access and use the content. 
Type Of Material Improvements to research infrastructure 
Year Produced 2019 
Provided To Others? Yes  
Impact Work has just started, but to ensure continued impact in the stakeholder community, FAIRsharing redevelopment and it is guided by a new Advisory Board, organised in a small group of Executive Advisors and a larger group of Stakeholder Advisors that represent the users and adopters: https://fairsharing.org/communities#governance 
 
Description ELIXIR Interoperability Platform and FAIRsharing 
Organisation ELIXIR
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Run by Prof. Sansone group, FAIRsharing (https://fairsharing.org) is a resource on standards, repositories, and data policies endorsed by a growing number of stakeholder communities, including major publishers, funders, libraries and FAIR-supporting organizations. FAIRsharing is part of the ELIXIR Recommended Interoperability Resources (RIRs) to facilitate interoperability and reusability of life science data and support the principles of FAIR data management.
Collaborator Contribution The ELIXIR Recommended Interoperability Resources have been selected by external panel of reviewers, based on the selection criteria published in the Call for RIR application, which measure how they facilitate scientific research and how they improve FAIRness of life science data.
Impact FAIRsharing is and will continue to be used by and further linked to other ELIXIR registries and services.
Start Year 2018
 
Description FAIRsharing and Data Stewardship Wizard 
Organisation Czech Technical University in Prague
Country Czech Republic 
Sector Academic/University 
PI Contribution The Data Stewardship Wizard (DSW) is a tool for data management planning. Prof. Sansone's group runs FAIRsharing, a community-recognized curated, informative and educational resource that interlinks community standards to databases, repositories and data policies (by funders and policies). We have worked with the DSW team to surface the right level of information from FAIRsharing to the DSW users, via the respective tools' APIs.
Collaborator Contribution The DSW has accessed relevant FAIRsharing content and displaied for selection to the users, when they define a data management plan.
Impact The questioning in the Data Stewardship Wizard is modelled after the conversation a researcher could have with a data management expert; most questions are closed questions with a limited set of possible answers. Answers on standards and repositories are obtained from linked services, such as FAIRsharing, as illustrated in this figure: https://datascience.codata.org/articles/10.5334/dsj-2019-059/dsj-18-954-g1.png/?action=download
Start Year 2019
 
Description FAIRsharing, Datacite and major scholarly publishers 
Organisation Cambridge University Press
Country United Kingdom 
Sector Private 
PI Contribution DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback.
Collaborator Contribution Datacite has assisted with the discussion and dissemination of the work.
Impact Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments
Start Year 2019
 
Description FAIRsharing, Datacite and major scholarly publishers 
Organisation Datacite
Sector Charity/Non Profit 
PI Contribution DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback.
Collaborator Contribution Datacite has assisted with the discussion and dissemination of the work.
Impact Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments
Start Year 2019
 
Description FAIRsharing, Datacite and major scholarly publishers 
Organisation Elsevier
Country Netherlands 
Sector Private 
PI Contribution DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback.
Collaborator Contribution Datacite has assisted with the discussion and dissemination of the work.
Impact Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments
Start Year 2019
 
Description FAIRsharing, Datacite and major scholarly publishers 
Organisation European Molecular Biology Organisation
Department EMBO Press
Country Germany 
Sector Academic/University 
PI Contribution DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback.
Collaborator Contribution Datacite has assisted with the discussion and dissemination of the work.
Impact Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments
Start Year 2019
 
Description FAIRsharing, Datacite and major scholarly publishers 
Organisation Faculty of 1000
Department F1000 Research
Country United Kingdom 
Sector Private 
PI Contribution DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback.
Collaborator Contribution Datacite has assisted with the discussion and dissemination of the work.
Impact Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments
Start Year 2019
 
Description FAIRsharing, Datacite and major scholarly publishers 
Organisation GigaScience
Country United Kingdom 
Sector Private 
PI Contribution DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback.
Collaborator Contribution Datacite has assisted with the discussion and dissemination of the work.
Impact Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments
Start Year 2019
 
Description FAIRsharing, Datacite and major scholarly publishers 
Organisation Hindawi
Country Egypt 
Sector Private 
PI Contribution DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback.
Collaborator Contribution Datacite has assisted with the discussion and dissemination of the work.
Impact Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments
Start Year 2019
 
Description FAIRsharing, Datacite and major scholarly publishers 
Organisation Springer Nature
Country Germany 
Sector Private 
PI Contribution DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback.
Collaborator Contribution Datacite has assisted with the discussion and dissemination of the work.
Impact Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments
Start Year 2019
 
Description FAIRsharing, Datacite and major scholarly publishers 
Organisation Taylor & Francis Group
Country United Kingdom 
Sector Private 
PI Contribution DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback.
Collaborator Contribution Datacite has assisted with the discussion and dissemination of the work.
Impact Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments
Start Year 2019
 
Description FAIRsharing, Datacite and major scholarly publishers 
Organisation University of California, Los Angeles (UCLA)
Department PLOS Medicine Journal
Country United States 
Sector Academic/University 
PI Contribution DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback.
Collaborator Contribution Datacite has assisted with the discussion and dissemination of the work.
Impact Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments
Start Year 2019
 
Description FAIRsharing, Datacite and major scholarly publishers 
Organisation Wiley
Country United States 
Sector Private 
PI Contribution DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback.
Collaborator Contribution Datacite has assisted with the discussion and dissemination of the work.
Impact Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments
Start Year 2019
 
Description FAIRsharing, Datacite and major scholarly publishers 
Organisation eLife
Sector Charity/Non Profit 
PI Contribution DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback.
Collaborator Contribution Datacite has assisted with the discussion and dissemination of the work.
Impact Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments
Start Year 2019
 
Description International Workshop on Sharing, Citation and Publication of Scientific Data across Disciplines - presentation 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Dr McQuilton in my team gave a keynote presentation on FAIRsharing (previously named BioSharing) at this Workshop on "Describing and Connecting Standards, Databases and Policies Across Disciplines" and the collaboration between FAIRsharing and the FAIRsharing and the Japanese National Bioscience Database Center's Integbio to map and share life science database information.
Year(s) Of Engagement Activity 2017
URL http://polaris.nipr.ac.jp/~pseis/data.ws-2017/main.dwt
 
Description Biohackathon; ELIXIR, Paris 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The team participated to several tracks, especially working on ISA for plant and metabolomics community, as well as for use in Galaxy, and the bioschema work. The work carried our continue to embed ISA and FAIRsharing into ELIXIR-driven infrastructure and activities.
Year(s) Of Engagement Activity 2018
URL https://www.elixir-europe.org/events/biohackathon-2018-paris
 
Description ELIXIR-UK AllHands meeting, Birmingham 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Showcasing latest work on FAIRsharing and ISA, as well as discussing how to best connect with other UK resources and those from other Nodes.
Year(s) Of Engagement Activity 2018
URL https://elixiruknode.org/event/elixir-uk-all-hands-2018/
 
Description FAIRsharing (previously BioSharing) and Integbio Hackathon - Tokyo 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Drs McQuilton and Izzo, in my team, visited the National Bioscience Database Center's Integbio team to align database fields, map the data and work out the logistics of sharing data via the FAIRsharing (previously named BioSharing) API and NBDC's SPARQL endpoint. This work will result in a few additional fields in our database records, along with extra fields for Integbio, as we synchronise our data. We now continue to work on integrating the data for approximately 1000 databases from Integbio into FAIRsharing, and a mechanism to ensure easy, semi-automatic synchronisation of data between the two resources.
Year(s) Of Engagement Activity 2017
URL http://oerc.ox.ac.uk/news/tokyo-visit
 
Description FAIRsharing Chemical Data; IUPAC workshop, Amsterdam 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Introducing FAIRsharing to a new audience and engaging with databases and standards creators in the chemistry domain.
Year(s) Of Engagement Activity 2018
URL https://iupac.org/event/supporting-fair-exchange-chemical-data-standards-development/
 
Description FAIRsharing and terms4FAIRskills at EOSC; Budapest 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact This is the annual event where "Where the EOSC makers & shakers meet". I was invited to expert panels to give an introduction on the FAIRsharing growing update and the terms4FAIRskills initiative.
Year(s) Of Engagement Activity 2019
URL https://www.eoscsecretariat.eu/eosc-symposium
 
Description FAIRsharing; BOSC conference, Portland 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Introducing FAIRsharing to a new audience of databases and standards developers
Year(s) Of Engagement Activity 2018
URL https://gccbosc2018.sched.com/event/FEX7/b21-fairsharing-working-with-the-community-to-map-the-lands...
 
Description FAIRsharing; ELIXIR AllHands 2018, Berlin. 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Helped to shape the role of FAIRsharing in the context of other ELIXIR FAIR-supporting resources.
Year(s) Of Engagement Activity 2018
URL https://www.elixir-europe.org/events/elixir-all-hands-2018
 
Description FAIRsharing; GO-FAIR meeting, Leiden. 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Create a critical mass around FAIRsharing, discussed and launched an Implementation Network around making Standards, Repositories, and Policies FAIR, named FAIR StRePo: https://www.go-fair.org/implementation-networks/overview/fair-strepo
Year(s) Of Engagement Activity 2019
URL https://www.go-fair.org/implementation-networks/overview/
 
Description Metadata and data standards, ISA and FAIRsharing - MAQC Society, Shanghai 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Plenary presentation on metadata and data standards, and FAIR principles from theory to practice with overview of exemplar activities. The use of FAIR to enable meaningful and intelligent data sharing and reuse is a hot topic of great interest to all stakeholders.
Year(s) Of Engagement Activity 2018
URL https://www.pmgenomics.ca/maqcsociety/meeting_feb_2018
 
Description Metadata for machine: the work of ISA and FAIRsharing; GO-FAIR workshop, Leiden 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Our team showcased our preliminary work done to make machine-actionable metadata from standards in FAIRsharing that can be used as templated for ISA and other annotation tools. The creation of machine-actionable metadata from standards is key to enable FAIR data and is a hot topic.
Year(s) Of Engagement Activity 2018
URL https://www.go-fair.org/resources/go-fair-workshop-series/metadata-for-machines-workshops/
 
Description My role in the FAIR ecosystem 
Form Of Engagement Activity A broadcast e.g. TV/radio/film/podcast (other than news/press)
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact I was nominated as one of the European Group of FAIR Champions (EGFC), which is a group of scientific experts and "doers" in the field of FAIR data. My role is to be an ambassador of FAIR by sharing FAIR implementation stories, enhancing synergies, contributing to training activities and webinars, and doing an effective cross fertilization with other communities, towards a broader engagement on FAIR. This short video is an example of my activity as an EGFC.
Year(s) Of Engagement Activity 2019
URL https://www.fairsfair.eu/videos
 
Description RDA FAIRsharing WG - overview of the work; IDW, Gaborone 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Overview and discussion of the RDA-Force FAIRsharing WG activities, especially the recommendations, to guide the users and producers of standards, databases and repositories on how to best select and describe these resources; and to guide funders and publishers on how to recommend them in data policies.
Year(s) Of Engagement Activity 2018
URL https://rd-alliance.org/group/fairsharing-registry-connecting-data-policies-standards-databases-wg/o...
 
Description RDA FAIRsharing WG - overview of the work; RDA, Berlin 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Overview and discussion of the RDA-Force FAIRsharing WG activities, especially the recommendations, to guide the users and producers of standards, databases and repositories on how to best select and describe these resources; and to guide funders and publishers on how to recommend them in data policies.
Year(s) Of Engagement Activity 2018
URL https://rd-alliance.org/group/fairsharing-registry-connecting-data-policies-standards-databases-wg/o...
 
Description RDA FAIRsharing WG; Helsinki 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Overview and discussion of the RDA-Force FAIRsharing WG activities, especially the recommendations, to guide the users and producers of standards, databases and repositories on how to best select and describe these resources; and to guide funders and publishers on how to recommend them in data policies.
Year(s) Of Engagement Activity 2019
URL https://rd-alliance.org/group/fairsharing-registry-connecting-data-policies-standards-databases-wg/o...