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The FAIR principles were first drafted at an international scientific workshop in 2014, with the principles officially published in 2016 (Wilkinson et al., 2016)[1]. Since then, the principles have received worldwide recognition and been endorsed by international organisations including FORCE11, National Institutes of Health and the European Commission as an essential framework for sharing data and outputs in a way that would maximise use and reuse.
The FAIR principles are designed to:·
support knowledge discovery and innovation both by humans and machines
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support data and knowledge integration
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promote sharing and reuse of data
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be applied across multiple disciplines
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assist in making data and metadata ‘machine readable’, supporting new discoveries through the harvest and analysis of multiple datasets and outputs
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Access notes
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[1] Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18
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