FAIR Data Principles


These are the four guiding principles that was first published by Wilkinson et al in 20161. The article outlined the importance of improving infrastructure surrounding the reuse of scholarly data.

“Good data management is not a goal in itself, but rather is the key conduit leading to knowledge discovery and innovation, and to subsequent data and knowledge integration and reuse by the community after the data publication process.”

The main purpose was to create curated repositories from which data be easily found and accessed to be used across various scientific disciplines. The use of these repositories is not limited to researchers but would be useful to professional data publishers and software developers offering services as well as funding agencies concerned over Data Stewardship.

1Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. (2016) The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data 3, 160017. DOI 10.1038/sdata.2016.18