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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)
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
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
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
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Deprecated as subsumed or superseded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
Mapping the landscape - Collections
Ensures that standards, databases, repositories, policies are:
• Findable, e.g., by providing DOIs and marking up records in schema.org,
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
• FAIRsharing works with FAIR assessment tools to serve as:
• Registry to describe digital assets, such as databases/repositories, standards,
policies, enhancing their discoverability (schema.org), citability (DOIs)
• Look up service for identifier schemas and standards
• Validation service against metadata standards (planned)
FAIRsharing underpins the FAIR metrics
by FAIRmetrics.org by NIH Data Commons
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
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
https://fairsharing.org/communities
DOI: https://doi.org/10.1038/s41587-019-0080-8
FAIRsharing WG:
https://rd-alliance.org/group/fairsharing-registry-connecting-
data-policies-standards-databases.html
Contact FAIRsharing:
contact@fairsharing.org @fairsharing_org
To find out more…
https://fairsharing.org/communities
Adopters, collaborators and users
from academia, industry,
funders, infrastructure providers
and scholarly publishers include:
https://www.go-fair.org/implementation-
networks/overview/fair-strepo/
StRePo IN

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

  • 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. 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. 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. 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. 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.
  • 7.
  • 8. Mapping the landscape - Collections
  • 9.
  • 10. Ensures that standards, databases, repositories, policies are: • Findable, e.g., by providing DOIs and marking up records in schema.org, 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
  • 11. • FAIRsharing works with FAIR assessment tools to serve as: • Registry to describe digital assets, such as databases/repositories, standards, policies, enhancing their discoverability (schema.org), citability (DOIs) • Look up service for identifier schemas and standards • Validation service against metadata standards (planned) FAIRsharing underpins the FAIR metrics by FAIRmetrics.org by NIH Data Commons
  • 12. 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
  • 13. 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 https://fairsharing.org/communities
  • 14. DOI: https://doi.org/10.1038/s41587-019-0080-8 FAIRsharing WG: https://rd-alliance.org/group/fairsharing-registry-connecting- data-policies-standards-databases.html Contact FAIRsharing: contact@fairsharing.org @fairsharing_org To find out more… https://fairsharing.org/communities Adopters, collaborators and users from academia, industry, funders, infrastructure providers and scholarly publishers include: https://www.go-fair.org/implementation- networks/overview/fair-strepo/ StRePo IN