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Making Repositories FAIR
(via metadata in FAIRsharing.org)
Peter McQuilton, PhD
ORCiD: 0000-0003-2687-1982 | Twitter: @Drosophilic
Building the data landscape of the future, FAIRsFAIR workshop, Espoo, Finland, 22nd October 2019
Slides:
https://datareadiness.eng.ox.ac.uk
Making Repositories FAIR (via metadata in FAIRsharing.org
REPOSITORIES,
databases and
knowledgebases
COMMUNITY STANDARDS
DATA POLICIES
by funders, journals
and other organizations
Curated inter-linked
descriptions
informative and educational resource
We guide consumers to discover, select and use these
resources with confidence
We help producers to make their resources more visible,
more widely adopted and cited
Providing rich descriptive metadata for
resources
Providing rich descriptive metadata for
resources
Providing rich descriptive metadata for
resources
Highlighting relationships with standards,
databases and data policies
Highlighting relationships with standards,
databases and data policies
Making Repositories FAIR (via metadata in FAIRsharing.org
“The interactive browser will allow us to discover which databases and standards
are not currently included in our author guidelines, enabling us to regularly
monitor and refine our policies as appropriate, in support of our mission to help
our authors enhance the reproducibility of their work.”
H. Murray. Publishing Editor, F1000Research
Mapping the landscape of badges and
certification
https://doi.org/10.1038/s41587-019-0080-8
Open Access CC-BY
69 authors (adopters, collaborators, users)
representing different stakeholder groups
Analysed the data policies by
journals/publishers, and the standards and
repositories they recommend
Working with journal editors and publishers
What have we learned and what are we doing
now?
Discrepancy in recommendations across the data policies
• some repositories are named, but very few standards are
• cautious approach due to the wealth of existing resources
Recommendations are often driven by
• the editor’s familiarity with one or more standards, notably
for journals or publishers focusing on specific disciplines
• the engagement with learned societies and researchers
actively supporting and using certain resources
⮚ Consensus: FAIRsharing plays a key role in helping editors
to discover and recommend appropriate resources, but
repositories and standards could be more FAIR!
In scope:
• A shared list of recommended deposition
repositories
Out of scope:
• Become or compete with
• certification systems for repositories, such
as CoreTrustSeal;
• evaluation processes by a community
‘authority’ in a given area, e.g. by ELIXIR
in the life sciences
Collaboration:
Harmonize journals and publishers’ data deposition guidelines
by defining a common set of criteria for repository selection
Document being approved internally by publishers; out before / to be presented at RDA’s 14th Plenary, Helsinki
• Findable - use PID schemas, use schema.org
mark-up, add metadata to FAIRsharing
• Accessible - Define level of openness –
access protocol and license clearly in a policy
findable from the homepage
• Interoperable – Use community standards for
reporting, models, formats and terminologies
• Reusable - Licensing, provenance of data,
follow reporting standards – clear policy linked
from homepage
Ways to help make your repository FAIR
FAIRsharing enables the FAIR principles
FAIR principles DOI: 10.1038/sdata.2016.18
• Ensures that standards, repositories and policies are:
• Findable - by providing DOIs and marking up metadata
records with schema.org
• Accessible - by identifying their level of openess, license
type and other information in the metadata
• Interoperable – highlighting which repositories implement the
same standards for structuring and exchanging data
• Reusable – through knowing the level of endorsement of a
repository by publisher data policies and the level of
implementation of a standard by repositories encourages
their use rather than reinvention
Researchers in academia,
industry, government
Developers and curators of
resources
Journal publishers or
organizations with data policy
Research data facilitators,
librarians, trainers
Learned societies, unions
and associations
Funders and data policy
makers
A flagship output (and a
WG) of the:
Recommended by
funders, e.g.:
Core part of implementation
networks in:

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Making Repositories FAIR (via metadata in FAIRsharing.org

  • 1. Making Repositories FAIR (via metadata in FAIRsharing.org) Peter McQuilton, PhD ORCiD: 0000-0003-2687-1982 | Twitter: @Drosophilic Building the data landscape of the future, FAIRsFAIR workshop, Espoo, Finland, 22nd October 2019 Slides: https://datareadiness.eng.ox.ac.uk
  • 3. REPOSITORIES, databases and knowledgebases COMMUNITY STANDARDS DATA POLICIES by funders, journals and other organizations Curated inter-linked descriptions informative and educational resource We guide consumers to discover, select and use these resources with confidence We help producers to make their resources more visible, more widely adopted and cited
  • 4. Providing rich descriptive metadata for resources
  • 5. Providing rich descriptive metadata for resources
  • 6. Providing rich descriptive metadata for resources
  • 7. Highlighting relationships with standards, databases and data policies
  • 8. Highlighting relationships with standards, databases and data policies
  • 10. “The interactive browser will allow us to discover which databases and standards are not currently included in our author guidelines, enabling us to regularly monitor and refine our policies as appropriate, in support of our mission to help our authors enhance the reproducibility of their work.” H. Murray. Publishing Editor, F1000Research
  • 11. Mapping the landscape of badges and certification
  • 12. https://doi.org/10.1038/s41587-019-0080-8 Open Access CC-BY 69 authors (adopters, collaborators, users) representing different stakeholder groups Analysed the data policies by journals/publishers, and the standards and repositories they recommend Working with journal editors and publishers
  • 13. What have we learned and what are we doing now? Discrepancy in recommendations across the data policies • some repositories are named, but very few standards are • cautious approach due to the wealth of existing resources Recommendations are often driven by • the editor’s familiarity with one or more standards, notably for journals or publishers focusing on specific disciplines • the engagement with learned societies and researchers actively supporting and using certain resources ⮚ Consensus: FAIRsharing plays a key role in helping editors to discover and recommend appropriate resources, but repositories and standards could be more FAIR!
  • 14. In scope: • A shared list of recommended deposition repositories Out of scope: • Become or compete with • certification systems for repositories, such as CoreTrustSeal; • evaluation processes by a community ‘authority’ in a given area, e.g. by ELIXIR in the life sciences Collaboration: Harmonize journals and publishers’ data deposition guidelines by defining a common set of criteria for repository selection Document being approved internally by publishers; out before / to be presented at RDA’s 14th Plenary, Helsinki
  • 15. • Findable - use PID schemas, use schema.org mark-up, add metadata to FAIRsharing • Accessible - Define level of openness – access protocol and license clearly in a policy findable from the homepage • Interoperable – Use community standards for reporting, models, formats and terminologies • Reusable - Licensing, provenance of data, follow reporting standards – clear policy linked from homepage Ways to help make your repository FAIR
  • 16. FAIRsharing enables the FAIR principles FAIR principles DOI: 10.1038/sdata.2016.18 • Ensures that standards, repositories and policies are: • Findable - by providing DOIs and marking up metadata records with schema.org • Accessible - by identifying their level of openess, license type and other information in the metadata • Interoperable – highlighting which repositories implement the same standards for structuring and exchanging data • Reusable – through knowing the level of endorsement of a repository by publisher data policies and the level of implementation of a standard by repositories encourages their use rather than reinvention
  • 17. Researchers in academia, industry, government Developers and curators of resources Journal publishers or organizations with data policy Research data facilitators, librarians, trainers Learned societies, unions and associations Funders and data policy makers A flagship output (and a WG) of the: Recommended by funders, e.g.: Core part of implementation networks in: