FAIRsharing: more than a registry
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The document discusses Fairsharing, a platform aimed at enhancing the discoverability and usability of data, metadata, and identifier standards in research. It supports the FAIR principles, ensuring that resources are Findable, Accessible, Interoperable, and Reusable, while providing essential guidance for journals, publishers, and researchers. The initiative also focuses on establishing criteria for selecting data repositories to standardize recommendations and improve data management practices.
FAIRsharing: more than a registry
- 1. elixir-europe.org Peter McQuilton, PhD FAIRsharing: more than a registry @drosophilic / @fairsharing_org
- 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
- 6. A FAIRsharing metadata record
- 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
- 8. Example Collection: ELIXIR CDR & DDD
- 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