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. 2016 Mar 15:3:160018.
doi: 10.1038/sdata.2016.18.

The FAIR Guiding Principles for scientific data management and stewardship

Affiliations

The FAIR Guiding Principles for scientific data management and stewardship

Mark D Wilkinson et al. Sci Data. .

Erratum in

  • Addendum: The FAIR Guiding Principles for scientific data management and stewardship.
    Wilkinson MD, Dumontier M, Jan Aalbersberg I, Appleton G, Axton M, Baak A, Blomberg N, Boiten JW, da Silva Santos LB, Bourne PE, Bouwman J, Brookes AJ, Clark T, Crosas M, Dillo I, Dumon O, Edmunds S, Evelo CT, Finkers R, Gonzalez-Beltran A, Gray AJG, Groth P, Goble C, Grethe JS, Heringa J, Hoen PAC', Hooft R, Kuhn T, Kok R, Kok J, Lusher SJ, Martone ME, Mons A, Packer AL, Persson B, Rocca-Serra P, Roos M, van Schaik R, Sansone SA, Schultes E, Sengstag T, Slater T, Strawn G, Swertz MA, Thompson M, van der Lei J, van Mulligen E, Jan Velterop, Waagmeester A, Wittenburg P, Wolstencroft K, Zhao J, Mons B. Wilkinson MD, et al. Sci Data. 2019 Mar 19;6(1):6. doi: 10.1038/s41597-019-0009-6. Sci Data. 2019. PMID: 30890711 Free PMC article. No abstract available.

Abstract

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.

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Conflict of interest statement

M.A. is the Nature Genetics’ Editor in Chief; S.A.S. is Scientific Data’s Honorary Academic Editor and consultant.

Comment in

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