Comment

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 & 33 others 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

Research output: Contribution to journalArticle

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 languageEnglish
Article number160018
JournalScientific Data
Volume3
DOIs
Publication statusPublished - 15 Mar 2016

Fingerprint

Reusability
Data Management
Information management
management
Reuse
Industry
Infrastructure
funding
stakeholder
infrastructure
Distinct
Stewardship
Data management
industry
ability
community

ASJC Scopus subject areas

  • Education
  • Library and Information Sciences
  • Computer Science Applications
  • Information Systems
  • Statistics, Probability and Uncertainty
  • Statistics and Probability

Cite this

Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., ... Mons, B. (2016). Comment: The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, [160018]. https://doi.org/10.1038/sdata.2016.18
Wilkinson, Mark D. ; Dumontier, Michel ; Aalbersberg, Ijsbrand Jan ; Appleton, Gabrielle ; Axton, Myles ; Baak, Arie ; Blomberg, Niklas ; Boiten, Jan-Willem ; da Silva Santos, Luiz Bonino ; Bourne, Philip E. ; Bouwman, Jildau ; Brookes, Anthony J. ; Clark, Tim ; Crosas, Mercè ; Dillo, Ingrid ; Dumon, Olivier ; Edmunds, Scott ; Evelo, Chris T. ; Finkers, Richard ; Gonzalez-Beltran, Alejandra ; Gray, Alasdair J G ; Groth, Paul ; Goble, Carole ; Grethe, Jeffrey S. ; Heringa, Jaap ; 't Hoen, Peter A. C. ; Hooft, Rob ; Kuhn, Tobias ; Kok, Ruben ; Kok, Joost ; Lusher, Scott J. ; Martone, Maryann E. ; Mons, Albert ; Packer, Abel L. ; Persson, Bengt ; Rocca-Serra, Philippe ; Roos, Marco ; van Schaik, Rene ; Sansone, Susanna-Assunta ; Schultes, Erik ; Sengstag, Thierry ; Slater, Ted ; Strawn, George ; Swertz, Morris A. ; Thompson, Mark ; van der Lei, Johan ; van Mulligen, Erik ; Velterop, Jan ; Waagmeester, Andra ; Wittenburg, Peter ; Wolstencroft, Katherine ; Zhao, Jun ; Mons, Barend. / Comment : The FAIR Guiding Principles for scientific data management and stewardship. In: Scientific Data. 2016 ; Vol. 3.
@article{e23fd00596604b0b80810f19c21781e6,
title = "Comment: 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 Jan-Willem Boiten 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 Susanna-Assunta Sansone 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",
month = "3",
day = "15",
doi = "10.1038/sdata.2016.18",
language = "English",
volume = "3",
journal = "Scientific Data",
issn = "2052-4463",
publisher = "Nature Publishing Group",

}

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, 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, 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, 'Comment: The FAIR Guiding Principles for scientific data management and stewardship', Scientific Data, vol. 3, 160018. https://doi.org/10.1038/sdata.2016.18

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

In: Scientific Data, Vol. 3, 160018, 15.03.2016.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Comment

T2 - The FAIR Guiding Principles for scientific data management and stewardship

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 - 2016/3/15

Y1 - 2016/3/15

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.

UR - http://www.scopus.com/inward/record.url?scp=84962269370&partnerID=8YFLogxK

U2 - 10.1038/sdata.2016.18

DO - 10.1038/sdata.2016.18

M3 - Article

VL - 3

JO - Scientific Data

JF - Scientific Data

SN - 2052-4463

M1 - 160018

ER -

Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A et al. Comment: The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data. 2016 Mar 15;3. 160018. https://doi.org/10.1038/sdata.2016.18