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FAIRsharing - Mapping the Landscape of Databases, Repositories, Standards and Data Policies


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A 15 minute slide set presented at two workshops at #biocuration2019; the first on ontologies and FAIRification, the second to map the landscape of biocuration.

Published in: Science
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FAIRsharing - Mapping the Landscape of Databases, Repositories, Standards and Data Policies

  1. 1. Peter McQuilton PhD, FAIRsharing Project Coordinator Oxford e-Research Centre, Dept. Engineering Science, University of Oxford @drosophilic Practical ontology applications, tooling and interoperability best practices for FAIRification. #Biocuration2019 Cambridge, UK Mapping the landscape of databases, standards and policies (describing, linking and assessing their FAIRness)
  2. 2. A FAIR-supporting resource that provides a registry on data standards, repositories and policies, alongside search and visualization tools and services that interoperate with other FAIR-enabling services
  3. 3. Our mission is to increase: • guidance to consumers of standards, databases, and data policies, to accelerate the discovery, selection and use of these resources; and • producer satisfaction in terms of resource visibility, reuse, adoption and citation
  4. 4. Mapping the landscape of standards, databases, repositories and data policies Data policies by funders, journals and other organizations Databases and data repositories Community standards, focusing on metadata and identifier schemas Formats Terminologies Guidelines Identifiers IDModels/Formats = Conceptual model, conceptual schema, exchange formats Terminologies = ontologies, controlled vocabularies, thesauri, etc. Guidelines = Minimum information reporting requirements, checklists Identifiers = unambiguous, persistent and context-independent identifier schema Metrics IDMetrics = qualitative or quantitative measurements that assess a feature of an object
  5. 5. 270 48 23 2 97 87 4 204 9 6 8 Ready for use, implementation, or recommendation In development Status uncertain Deprecated as subsumed or superseded All records are manually curated in-house and verified by the community behind each resource Community verified status indicators
  6. 6. Mapping the landscape - Collections
  7. 7. Ensures that standards, databases, repositories, policies are: • Findable, e.g., by providing DOIs and marking up records in, allowing users to register, claim, maintain, interlink, classify, search and discover them • Accessible, e.g., identifying their level of openness and/or licence type • Interoperable, e.g., highlighting which repositories implement the same standards to structure and exchange data • Reusable, e.g., knowing the coverage of a standard and its level of endorsement by a number of repositories should encourage its use or extension in neighbouring domains, rather than reinvention FAIRsharing enables the FAIR principles FAIR principles DOI: 10.1038/sdata.2016.18
  8. 8. • FAIRsharing works with FAIR assessment tools to serve as: • Registry to describe digital assets, such as databases/repositories, standards, policies, enhancing their discoverability (, citability (DOIs) • Look up service for identifier schemas and standards • Validation service against metadata standards (planned) FAIRsharing underpins the FAIR metrics by by NIH Data Commons
  9. 9. How you can help us: • Claim the record(s) for your resource(s) • Tell us what’s missing How we can help you: • Use FAIRsharing to store and publicise the metadata surrounding your resource • Use FAIRsharing to find the appropriate standards for your work • Formally cite these resources using their record DOI and the ‘how to cite this record’ statements provided • Use FAIRsharing to assess the FAIRness of your resource FAIRsharing and you
  10. 10. Philippe Rocca-Serra, PhD Senior Research Lecturer/Cofounder Massimiliano Izzo, PhD Research Software Engineer Peter McQuilton, PhD Project Coordinator Allyson Lister, PhD Knowledge Engineer Melanie Adekale, PhD Biocurator (Contract) Delphine Dauga, PhD Biocurator (Contract) Susanna-Assunta Sansone, PhD Associate Professor, Associate Director Ramon Granell Research Software and Knowledge Engineer Dominique Batista Research Software and Knowledge Engineer Milo Thurston, DPhil Technical Coordinator Advisory Board Funding The Team
  11. 11. DOI: FAIRsharing WG: data-policies-standards-databases.html Contact FAIRsharing: @fairsharing_org To find out more… Adopters, collaborators and users from academia, industry, funders, infrastructure providers and scholarly publishers include: networks/overview/fair-strepo/ StRePo IN