Finkers RSchool of Computer Science, University of Manchester, Manchester M13 9PL, UK.
Gonzalez-Beltran ACenter for Research in Biological Systems, School of Medicine, University of California San Diego, La Jolla, California 92093-0446, USA.
Gray AJDutch Techcenter for the Life Sciences, Utrecht 3501 DE, The Netherlands.
Groth PDepartment of Human Genetics, Leiden University Medical Center, Dutch Techcenter for the Life Sciences, Leiden 2300 RC, The Netherlands.
Goble CDutch TechCenter for Life Sciences and ELIXIR-NL, Utrecht 3501 DE, The Netherlands.
Grethe JSVU University Amsterdam, Amsterdam 1081 HV, The Netherlands.
Heringa JDutch Techcenter for the Life Sciences, Utrecht 3501 DE, The Netherlands.
't Hoen PALeiden Center of Data Science, Leiden University, Leiden 2300 RA, The Netherlands.
Hooft RNetherlands eScience Center, Amsterdam 1098 XG, The Netherlands.
Kuhn TNational Center for Microscopy and Imaging Research, UCSD, San Diego 92103, USA.
Kok JSciELO/FAPESP Program, UNIFESP Foundation, São Paulo 05468-901, Brazil.
Lusher SJBioinformatics Infrastructure for Life Sciences (BILS), Science for Life Laboratory, Dept of Cell and Molecular Biology, Uppsala University, S-751 24, Uppsala, Sweden.
Martone MEOxford e-Research Center, University of Oxford, Oxford OX1 3QG, UK.
Mons ALeiden University Medical Center, Leiden 2333 ZA, The Netherlands.
Packer ALBayer CropScience, Gent Area 1831, Belgium.
Persson BOxford e-Research Center, University of Oxford, Oxford OX1 3QG, UK.
Rocca-Serra PLeiden Institute for Advanced Computer Science, Leiden University Medical Center, Leiden 2300 RA, The Netherlands.
Roos MSwiss Institute of Bioinformatics and University of Basel, Basel 4056, Switzerland.
English
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.