The FAIR Guiding Principles for scientific data management and stewardship

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Citation: Altmetric: 419Views: 27, 515Citations: 5More detail Comment (2016) The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data (RSS)
DOI (original publisher): 10.1038/sdata.2016.18
Semantic Scholar (metadata): 10.1038/sdata.2016.18
Sci-Hub (fulltext): 10.1038/sdata.2016.18
Internet Archive Scholar (search for fulltext): The FAIR Guiding Principles for scientific data management and stewardship
Download: http://www.nature.com/articles/sdata201618
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Summary

Describes the FAIR data principles:

  • Findable
  • Accessible
  • Interoperable
  • Reusable

Emphasizes that data must be FAIR for humans and computers. Goal:

for scholarly digital objects of all kinds to become ‘first class citizens’ in the scientific publication ecosystem, where the quality of the publication—and more importantly, the impact of the publication—is a function of its ability to be accurately and appropriately found, re-used, and cited over time, by all stakeholders, both human and mechanical.

Provides example of datasets not in centralized curated repositories that researcher wishes to compare -- how are they searched, filtered, integrated, cited?

Provides examples of FAIRness: Dataverse, FAIRDOM, ISA, Open PHACTS, wwPDB, UniProt.


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