The FAIR Guiding Principles for scientific data management and stewardship

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

doi:10.1038/sdata.2016.18

The FAIR Guiding Principles for scientific data management and stewardship

Mark D. Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E. Bourne, Jildau Bouwman, Anthony J. Brookes, Tim Clark, Mercè Crosas, Ingrid Dillo, Olivier Dumon, Scott Edmunds, Chris T. Evelo, Richard Finkers, Alejandra Gonzalez-BeltranAlasdair J.G. Gray, Paul Groth, Carole Goble, Jeffrey S. Grethe, Jaap Heringa, Peter A.C ’t Hoen, Rob Hooft, Tobias Kuhn, Ruben Kok, Joost Kok, Scott J. Lusher, Maryann E. Martone, Albert Mons, Abel L. Packer, Bengt Persson, Philippe Rocca-Serra, Marco Roos, Rene van Schaik, Susanna-Assunta Sansone, Erik Schultes, Thierry Sengstag, Ted Slater, George Strawn, Morris A. Swertz, Mark Thompson, Johan van der Lei, Erik van Mulligen, Jan Velterop, Andra Waagmeester, Peter Wittenburg, Katherine Wolstencroft, Jun Zhao, Barend Mons

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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.

Original language	English
Article number	160018
Journal	Scientific Data
Volume	3
DOIs	https://doi.org/10.1038/sdata.2016.18
Publication status	Published - 15 Dec 2016
Externally published	Yes

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Wilkinson, M. D., Dumontier, M., Aalbersberg, IJ. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., Santos, L. B. D. S., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., ... Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, Article 160018. https://doi.org/10.1038/sdata.2016.18

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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.",

author = "Wilkinson, {Mark D.} and Michel Dumontier and Aalbersberg, {IJsbrand Jan} and Gabrielle Appleton and Myles Axton and Arie Baak and Niklas Blomberg and Jan-Willem Boiten and Santos, {Luiz Bonino da Silva} and Bourne, {Philip E.} and Jildau Bouwman and Brookes, {Anthony J.} and Tim Clark and Merc{\`e} Crosas and Ingrid Dillo and Olivier Dumon and Scott Edmunds and Evelo, {Chris T.} and Richard Finkers and Alejandra Gonzalez-Beltran and Gray, {Alasdair J.G.} and Paul Groth and Carole Goble and Grethe, {Jeffrey S.} and Jaap Heringa and Hoen, {Peter A.C {\textquoteright}t} and Rob Hooft and Tobias Kuhn and Ruben Kok and Joost Kok and Lusher, {Scott J.} and Martone, {Maryann E.} and Albert Mons and Packer, {Abel L.} and Bengt Persson and Philippe Rocca-Serra and Marco Roos and Schaik, {Rene van} and Susanna-Assunta Sansone and Erik Schultes and Thierry Sengstag and Ted Slater and George Strawn and Swertz, {Morris A.} and Mark Thompson and Lei, {Johan van der} and Mulligen, {Erik van} and Jan Velterop and Andra Waagmeester and Peter Wittenburg and Katherine Wolstencroft and Jun Zhao and Barend Mons",

year = "2016",

month = dec,

day = "15",

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Wilkinson, MD, Dumontier, M, Aalbersberg, IJJ, Appleton, G, Axton, M, Baak, A, Blomberg, N, Boiten, J-W, Santos, LBDS, 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, Schaik, RV, Sansone, S-A, Schultes, E, Sengstag, T, Slater, T, Strawn, G, Swertz, MA, Thompson, M, Lei, JVD, Mulligen, EV, Velterop, J, Waagmeester, A, Wittenburg, P, Wolstencroft, K, Zhao, J & Mons, B 2016, 'The FAIR Guiding Principles for scientific data management and stewardship', Scientific Data, vol. 3, 160018. https://doi.org/10.1038/sdata.2016.18

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AU - Wilkinson, Mark D.

AU - Dumontier, Michel

AU - Aalbersberg, IJsbrand Jan

AU - Appleton, Gabrielle

AU - Axton, Myles

AU - Baak, Arie

AU - Blomberg, Niklas

AU - Boiten, Jan-Willem

AU - Santos, Luiz Bonino da Silva

AU - Bourne, Philip E.

AU - Bouwman, Jildau

AU - Brookes, Anthony J.

AU - Clark, Tim

AU - Crosas, Mercè

AU - Dillo, Ingrid

AU - Dumon, Olivier

AU - Edmunds, Scott

AU - Evelo, Chris T.

AU - Finkers, Richard

AU - Gonzalez-Beltran, Alejandra

AU - Gray, Alasdair J.G.

AU - Groth, Paul

AU - Goble, Carole

AU - Grethe, Jeffrey S.

AU - Heringa, Jaap

AU - Hoen, Peter A.C ’t

AU - Hooft, Rob

AU - Kuhn, Tobias

AU - Kok, Ruben

AU - Kok, Joost

AU - Lusher, Scott J.

AU - Martone, Maryann E.

AU - Mons, Albert

AU - Packer, Abel L.

AU - Persson, Bengt

AU - Rocca-Serra, Philippe

AU - Roos, Marco

AU - Schaik, Rene van

AU - Sansone, Susanna-Assunta

AU - Schultes, Erik

AU - Sengstag, Thierry

AU - Slater, Ted

AU - Strawn, George

AU - Swertz, Morris A.

AU - Thompson, Mark

AU - Lei, Johan van der

AU - Mulligen, Erik van

AU - Velterop, Jan

AU - Waagmeester, Andra

AU - Wittenburg, Peter

AU - Wolstencroft, Katherine

AU - Zhao, Jun

AU - Mons, Barend

PY - 2016/12/15

Y1 - 2016/12/15

N2 - 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.

AB - 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.

U2 - 10.1038/sdata.2016.18

DO - 10.1038/sdata.2016.18

M3 - Article

SN - 2052-4463

VL - 3

JO - Scientific Data

JF - Scientific Data

M1 - 160018

ER -

The FAIR Guiding Principles for scientific data management and stewardship

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