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The FAIR Guiding Principles for scientific data management and stewardship.


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.

SUBMITTER: Wilkinson MD 

PROVIDER: S-EPMC4792175 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

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The FAIR Guiding Principles for scientific data management and stewardship.

Wilkinson Mark D MD   Dumontier Michel M   Aalbersberg I Jsbrand Jan IJ   Appleton Gabrielle G   Axton Myles M   Baak Arie A   Blomberg Niklas N   Boiten Jan-Willem JW   da Silva Santos Luiz Bonino LB   Bourne Philip E PE   Bouwman Jildau J   Brookes Anthony J AJ   Clark Tim T   Crosas Mercè M   Dillo Ingrid I   Dumon Olivier O   Edmunds Scott S   Evelo Chris T CT   Finkers Richard R   Gonzalez-Beltran Alejandra A   Gray Alasdair J G AJ   Groth Paul P   Goble Carole C   Grethe Jeffrey S JS   Heringa Jaap J   't Hoen Peter A C PA   Hooft Rob R   Kuhn Tobias T   Kok Ruben R   Kok Joost J   Lusher Scott J SJ   Martone Maryann E ME   Mons Albert A   Packer Abel L AL   Persson Bengt B   Rocca-Serra Philippe P   Roos Marco M   van Schaik Rene R   Sansone Susanna-Assunta SA   Schultes Erik E   Sengstag Thierry T   Slater Ted T   Strawn George G   Swertz Morris A MA   Thompson Mark M   van der Lei Johan J   van Mulligen Erik E   Velterop Jan J   Waagmeester Andra A   Wittenburg Peter P   Wolstencroft Katherine K   Zhao Jun J   Mons Barend B  

Scientific data 20160315


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  ...[more]

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