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Susanna-Assunta Sansone
(on behalf of the FAIRsharing Team)
Associate Professor, Department of Engineering Science
Associate Director, Oxford e-Research Centre
University of Oxford, UK
International Data Week, Botswana, November 2018
How making digital objects FAIR can
democratise data publishing
Working Groups outputs:
1. A registry of curated and interlinked records on
o standards (for identifying, reporting, and citing data and metadata),
o databases, repositories (and knowledge-bases) and
o data policies (from journals, publishers, funders, other organizations)
1. Related recommendations
o to guide users and the producers of standards and databases to
select and describe these resources, or to recommend them in data
policies
Accelerate the discovery, selection and use of these resources
Increase their visibility, reuse, adoption and citation
Coverage
and classification
It is not just a registry, because it offers
tools and services, and
provides content for and interoperates with
other FAIR-supportive tools and services
Databases and
data repositories
Community standards,
focusing on metadata and identifier schemas
Formats Terminologies Guidelines
Interlinking standards, databases, repositories
and data policies
Data policies
by funders, journals and
other organizations
Identifiers
Ready for use, implementation, or recommendation
In development
Status uncertain
Deprecated as subsumed or superseded
All records are manually curated
in-house, verified and claimed by the
community behind each resource
Tracking evolution
Tracking evolution
Example of a record describing
a data resource
Examples of use and adoption
by publishers
Top 30 resources recommended by
journals/publishers
Totals: 184 databases recommended, 33 standards
Most recommendations for a database 13
Most recommendations for a standard 9
A core element of the
FAIR ecosystem
A set of principles to
enhance the value of all
digital resources
Developed and endorsed by researchers,
service providers, publishers, funding agencies,
industry partners; including but not limited to
individuals part of:
Ensures that standards, databases, repositories, policies are:
• Findable, e.g., by providing DOIs, functionality 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
Two tools to be launched as part of an
EOSC project
• FAIRsharing works with the FAIR metrics WG 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 (phase 1: now)
• Validation service against metadata standards (phase 2: planned)
FAIRsharing and the FAIRmetrics
FAIRmetrics.org
also part of:
A proposed core set of 14 semi-quantitative metrics
(measurable indicators) for the evaluation of FAIRness
• FAIRsharing interoperates with FAIR assessment tools, such as:
• FAIRshake
• FAIR Evaluator
FAIRsharing and the FAIR assessment
FAIRmetrics.org
also part of:
Pre-print at: https://doi.org/10.1101/245183
Authored by 68 authors, representing the FAIRsharing community of
core adopters, advisory board members, and key collaborator, who are
stakeholders from academia, industry, funding agencies, standards
organizations, infrastructure providers and scholarly publishers
RDA FAIRsharing WG:
https://rd-alliance.org/group/fairsharing-registry-connecting-
data-policies-standards-databases.html
Contact FAIRsharing Team:
email: contact@fairsharing.org twitter: @fairsharing_org

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FAIRsharing at SciDataCon - IDW 2018

  • 1. Susanna-Assunta Sansone (on behalf of the FAIRsharing Team) Associate Professor, Department of Engineering Science Associate Director, Oxford e-Research Centre University of Oxford, UK International Data Week, Botswana, November 2018 How making digital objects FAIR can democratise data publishing
  • 2. Working Groups outputs: 1. A registry of curated and interlinked records on o standards (for identifying, reporting, and citing data and metadata), o databases, repositories (and knowledge-bases) and o data policies (from journals, publishers, funders, other organizations) 1. Related recommendations o to guide users and the producers of standards and databases to select and describe these resources, or to recommend them in data policies
  • 3.
  • 4. Accelerate the discovery, selection and use of these resources Increase their visibility, reuse, adoption and citation
  • 6. It is not just a registry, because it offers tools and services, and provides content for and interoperates with other FAIR-supportive tools and services
  • 7. Databases and data repositories Community standards, focusing on metadata and identifier schemas Formats Terminologies Guidelines Interlinking standards, databases, repositories and data policies Data policies by funders, journals and other organizations Identifiers Ready for use, implementation, or recommendation In development Status uncertain Deprecated as subsumed or superseded All records are manually curated in-house, verified and claimed by the community behind each resource
  • 10. Example of a record describing a data resource
  • 11.
  • 12.
  • 13.
  • 14. Examples of use and adoption by publishers
  • 15.
  • 16.
  • 17.
  • 18.
  • 19. Top 30 resources recommended by journals/publishers Totals: 184 databases recommended, 33 standards Most recommendations for a database 13 Most recommendations for a standard 9
  • 20. A core element of the FAIR ecosystem
  • 21. A set of principles to enhance the value of all digital resources Developed and endorsed by researchers, service providers, publishers, funding agencies, industry partners; including but not limited to individuals part of:
  • 22. Ensures that standards, databases, repositories, policies are: • Findable, e.g., by providing DOIs, functionality 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
  • 23. Two tools to be launched as part of an EOSC project
  • 24. • FAIRsharing works with the FAIR metrics WG 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 (phase 1: now) • Validation service against metadata standards (phase 2: planned) FAIRsharing and the FAIRmetrics FAIRmetrics.org also part of: A proposed core set of 14 semi-quantitative metrics (measurable indicators) for the evaluation of FAIRness
  • 25. • FAIRsharing interoperates with FAIR assessment tools, such as: • FAIRshake • FAIR Evaluator FAIRsharing and the FAIR assessment FAIRmetrics.org also part of:
  • 26. Pre-print at: https://doi.org/10.1101/245183 Authored by 68 authors, representing the FAIRsharing community of core adopters, advisory board members, and key collaborator, who are stakeholders from academia, industry, funding agencies, standards organizations, infrastructure providers and scholarly publishers RDA FAIRsharing WG: https://rd-alliance.org/group/fairsharing-registry-connecting- data-policies-standards-databases.html Contact FAIRsharing Team: email: contact@fairsharing.org twitter: @fairsharing_org