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[Review / Commentary]

The FAIR Guiding Principles for scientific data management and stewardship.

Wilkinson MD et al.

Scientific data. 2016 Mar 15; 3:160018

https://doi.org/10.1038/sdata.2016.18PMID: 26978244

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  • Controversial
  • Good for Teaching

Evaluations

Very Good
08 Aug 2018
Stefan Schulz
Stefan Schulz

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In principle, there is nothing really new in this article. But I do recommend it, because it summarizes in a nice way the burning need for making research data accessible and interchangeable. Condensing fundamental principles of semantic interoperability by coining the acronym FAIR (Findable, Accessible, Interoperable and Reusable) was a great move for popularizing this idea. Everybody who has not fully understood the serious problem of scientific data being accumulated in silos, where - even if accessible to the public, the lack of semantics and contextualisation hampers whatsoever meaningful reuse of these data, must read this article.

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Relevant Specialties

  • Bioinformatics, Biomedical Informatics & Computational Biology

    Big Data & Analytics | Cataloguing & Benchmarking Computational Methods | Computational Genomics & Genetic Analysis | Sequence Analysis | Structural Bioinformatics, Modeling & Simulation | Systems & Network Biology | Text Mining & Ontologies | Translational Bioinformatics
  • Genomics & Genetics

    Computational Genomics & Genetic Analysis | Sequence Analysis
  • Structural Biology

    Structural Bioinformatics, Modeling & Simulation

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