A 10 minute presentation for the virtual ELIXIR All Hands Meeting 2020 - FAIRification mini symposium. In this presentation I talk about some of the community work we do in FAIRsharing, from sharing our metadata with other resources to research on data policy repository criteria.
2. COMMUNITY STANDARDS
for data, metadata and identifier schema
DATABASES
Knowledgebases and
repositories
DATA POLICIES
by funders, journals and
other organizations
Curated inter-linked
descriptions
Is an informative and educational resource
Guides consumers to discover, select and use these
resources with confidence
Helps producers to make their resources more visible, more
widely adopted and cited
3. FAIRsharing enables the FAIR principles
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 license 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 neighboring domains, rather than reinvention
10.1038/s41587-019-0080-8
4. 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 of the:
Recommended by
funders, e.g.:
To find out more….
https://fairsharing.org
/communities
&
5. , and more
• ELIXIR RIR since 2018
• ELIXIR UK resource
• Content provider for the ELIXIR DSW, FAIR evaluator and
DMP online tools
• Essential resource for the RDA Maturity Indicator
guidelines
• Created a collaborative network with major publishers and
journals
• Open to further relevant collaborations
7. Collections of resources
“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
• Collections group together one
or more types of resources by
project or organisation.
• Examples include:
• ELIXIR CDRs and DDDs
• EuroBioImaging
• CDISC
• Recommendations from policies
• PLOS
• Springer Nature
• Elsevier
9. Powering the FAIR ecosystem #1
FAIRsharing content powers 2 (semi)automatic evaluation tools:
https://doi.org/10.1101/657676
https://doi.org/10.1038/s41597-019-0184-5
To find out more…
http://w3id.org/AmIFAIR
https://www.fairshake.cloud
10. Powering the FAIR ecosystem #2
Integration planned for
summer/autumn 2020
11. To find out more….
https://fairsharing.org/communities
12. Defining criteria for data repository selection
We propose a set of criteria that journals
and publishers believe are important for the
identification and selection of data
repositories, which can be recommended to
researchers when they are preparing to
publish the data underlying their findings.
Data Repository Selection: Criteria That Matter
Pre-print:
https://osf.io/m2bce
Started Jan 2018
13. Aims
1. Guide journals and publishers to provide consistent
recommendations on data deposition to authors
2. Reduce potential for confusion as to what features make
a good repository
3. Inform data repository developers and managers of
the features understood to be important by journals and
publishers
4. Appraise certification and other evaluation initiatives
and provide comparisons
5. Drive curation in FAIRsharing, to enable the display,
filtering and searching of repositories based on these
criteria
Started Jan 2018
Data Repository Selection: Criteria That Matter
Final publication Autumn 2020
https://osf.io/m2bce