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; Oliver Dumon; Scott Edmunds; Chris T Evelo; Richard Finkers; Alejandra Gonzalez-Beltran; Alasdair J G Gray; Paul Groth; Carole A. Goble; Jeffrey S Grethe; Jaap Heringa; Peter A C 't Hoen; Rob Hooft; Tobias Kuhn; Ruben Kok; Joost Kok; Scott J Lusher; Maryann 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, Oliver Dumon, Scott Edmunds, Chris T Evelo, Richard Finkers, Alejandra Gonzalez-BeltranAlasdair J G Gray, Paul Groth, Carole A. Goble, Jeffrey S Grethe, Jaap Heringa, Peter A C 't Hoen, Rob Hooft, Tobias Kuhn, Ruben Kok, Joost Kok, Scott J Lusher, Maryann 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 Mar 2016

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Alasdair J. G. Gray
- A.J.G.Grayhw.acuk
- School of Mathematical & Computer Sciences - Associate Professor
- School of Mathematical & Computer Sciences, Computer Science - Associate Professor
Person: Academic (Research & Teaching)

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Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J-W., da Silva Santos, L. B., 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, [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.",

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Wilkinson, MD, Dumontier, M, Aalbersberg, IJ, Appleton, G, Axton, M, Baak, A, Blomberg, N, Boiten, J-W, 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, CA, Grethe, JS, Heringa, J, 't Hoen, PAC, Hooft, R, Kuhn, T, Kok, R, Kok, J, Lusher, SJ, Martone, M, Mons, A, Packer, AL, Persson, B, Rocca-Serra, P, Roos, M, van Schaik, R, Sansone, S-A, Schultes, E, Sengstag, T, Slater, T, Strawn, G, Swertz, MA, Thompson, M, van der Lei, J, van Mulligen, E, 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 - da Silva Santos, Luiz Bonino

AU - Bourne, Philip E

AU - Bouwman, Jildau

AU - Brookes, Anthony J

AU - Clark, Tim

AU - Crosas, Mercè

AU - Dillo, Ingrid

AU - Dumon, Oliver

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 A.

AU - Grethe, Jeffrey S

AU - Heringa, Jaap

AU - 't Hoen, Peter A C

AU - Hooft, Rob

AU - Kuhn, Tobias

AU - Kok, Ruben

AU - Kok, Joost

AU - Lusher, Scott J

AU - Martone, Maryann

AU - Mons, Albert

AU - Packer, Abel L

AU - Persson, Bengt

AU - Rocca-Serra, Philippe

AU - Roos, Marco

AU - van Schaik, Rene

AU - Sansone, Susanna-Assunta

AU - Schultes, Erik

AU - Sengstag, Thierry

AU - Slater, Ted

AU - Strawn, George

AU - Swertz, Morris A

AU - Thompson, Mark

AU - van der Lei, Johan

AU - van Mulligen, Erik

AU - Velterop, Jan

AU - Waagmeester, Andra

AU - Wittenburg, Peter

AU - Wolstencroft, Katherine

AU - Zhao, Jun

AU - Mons, Barend

PY - 2016/3/15

Y1 - 2016/3/15

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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

C2 - 26978244

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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