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.
%0 Journal Article
%1 wilkinson2016guiding
%A Wilkinson, Mark D.
%A Dumontier, Michel
%A Aalbersberg, IJsbrand Jan
%A Appleton, Gabrielle
%A Axton, Myles
%A Baak, Arie
%A Blomberg, Niklas
%A Boiten, Jan-Willem
%A da Silva Santos, Luiz Bonino
%A Bourne, Philip E.
%A Bouwman, Jildau
%A Brookes, Anthony J.
%A Clark, Tim
%A Crosas, Mercè
%A Dillo, Ingrid
%A Dumon, Olivier
%A Edmunds, Scott
%A Evelo, Chris T.
%A Finkers, Richard
%A Gonzalez-Beltran, Alejandra
%A Gray, Alasdair J.G.
%A Groth, Paul
%A Goble, Carole
%A Grethe, Jeffrey S.
%A Heringa, Jaap
%A 't Hoen, Peter A.C
%A Hooft, Rob
%A Kuhn, Tobias
%A Kok, Ruben
%A Kok, Joost
%A Lusher, Scott J.
%A Martone, Maryann E.
%A Mons, Albert
%A Packer, Abel L.
%A Persson, Bengt
%A Rocca-Serra, Philippe
%A Roos, Marco
%A van Schaik, Rene
%A Sansone, Susanna-Assunta
%A Schultes, Erik
%A Sengstag, Thierry
%A Slater, Ted
%A Strawn, George
%A Swertz, Morris A.
%A Thompson, Mark
%A van der Lei, Johan
%A van Mulligen, Erik
%A Velterop, Jan
%A Waagmeester, Andra
%A Wittenburg, Peter
%A Wolstencroft, Katherine
%A Zhao, Jun
%A Mons, Barend
%D 2016
%J Scientific Data
%K access data fair forschungsdaten management open principles prinzipien research
%N 1
%P 160018
%R 10.1038/sdata.2016.18
%T The FAIR Guiding Principles for scientific data management and stewardship
%U https://doi.org/10.1038/sdata.2016.18
%V 3
%X 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.
@article{wilkinson2016guiding,
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.},
added-at = {2023-07-17T09:54:21.000+0200},
author = {Wilkinson, Mark D. and Dumontier, Michel and Aalbersberg, IJsbrand Jan and Appleton, Gabrielle and Axton, Myles and Baak, Arie and Blomberg, Niklas and Boiten, Jan-Willem and da Silva Santos, Luiz Bonino and Bourne, Philip E. and Bouwman, Jildau and Brookes, Anthony J. and Clark, Tim and Crosas, Merc{\`e} and Dillo, Ingrid and Dumon, Olivier and Edmunds, Scott and Evelo, Chris T. and Finkers, Richard and Gonzalez-Beltran, Alejandra and Gray, Alasdair J.G. and Groth, Paul and Goble, Carole and Grethe, Jeffrey S. and Heringa, Jaap and 't Hoen, Peter A.C and Hooft, Rob and Kuhn, Tobias and Kok, Ruben and Kok, Joost and Lusher, Scott J. and Martone, Maryann E. and Mons, Albert and Packer, Abel L. and Persson, Bengt and Rocca-Serra, Philippe and Roos, Marco and van Schaik, Rene and Sansone, Susanna-Assunta and Schultes, Erik and Sengstag, Thierry and Slater, Ted and Strawn, George and Swertz, Morris A. and Thompson, Mark and van der Lei, Johan and van Mulligen, Erik and Velterop, Jan and Waagmeester, Andra and Wittenburg, Peter and Wolstencroft, Katherine and Zhao, Jun and Mons, Barend},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/22c307226aa912a2c9c3dda472536a6fe/droessler},
day = 15,
doi = {10.1038/sdata.2016.18},
interhash = {d3942649973e201b265fbdde29d14453},
intrahash = {2c307226aa912a2c9c3dda472536a6fe},
issn = {2052-4463},
journal = {Scientific Data},
keywords = {access data fair forschungsdaten management open principles prinzipien research},
month = {03},
number = 1,
pages = 160018,
timestamp = {2023-07-17T09:54:21.000+0200},
title = {The FAIR Guiding Principles for scientific data management and stewardship},
url = {https://doi.org/10.1038/sdata.2016.18},
volume = 3,
year = 2016
}