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^*

^*Corresponding author for this work

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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
Early online date	15 Mar 2016
DOIs	https://doi.org/10.1038/sdata.2016.18
Publication status	Published - 2016

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Wilkinson, M. D., Dumontier, M., Aalbersberg, IJ. 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, Article 160018. https://doi.org/10.1038/sdata.2016.18

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title = "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.",

author = "Wilkinson, {Mark D.} and Michel Dumontier and Aalbersberg, {IJsbrand Jan} and Gabrielle Appleton and Myles Axton and Arie Baak and Niklas Blomberg and Boiten, {Jan Willem} and {da Silva Santos}, {Luiz Bonino} 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 {'t Hoen}, {Peter A C} 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 {van Schaik}, Rene and Sansone, {Susanna Assunta} and Erik Schultes and Thierry Sengstag and Ted Slater and George Strawn and Swertz, {Morris A.} and Mark Thompson and {Van Der Lei}, Johan and {Van Mulligen}, Erik and Jan Velterop and Andra Waagmeester and Peter Wittenburg and Katherine Wolstencroft and Jun Zhao and Barend Mons",

year = "2016",

doi = "10.1038/sdata.2016.18",

language = "English",

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Wilkinson, MD, Dumontier, M, Aalbersberg, IJJ, 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, 't 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, 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, 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 - 't Hoen, Peter A C

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 - 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

Y1 - 2016

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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.

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U2 - 10.1038/sdata.2016.18

DO - 10.1038/sdata.2016.18

M3 - Commentary/debate

C2 - 26978244

AN - SCOPUS:84962269370

SN - 2052-4463

VL - 3

JO - Scientific Data

JF - Scientific Data

M1 - 160018

ER -

The FAIR Guiding Principles for scientific data management and stewardship

Abstract

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The FAIR Guiding Principles for scientific data management and stewardship

Abstract

Access to Document

Other files and links

Fingerprint

Projects

Open-PHACTS An open integrated and sustainable chemistry, biology and pharmacology knowledge resource for drug discovery

Research output

Enhancing RDM in Galaxy by integrating RO-Crate

Selection of data sets for FAIRification in drug discovery and development: Which, why, and how?

FAIR Computational Workflows

Cite this