The FAIR Principles

The FAIR principles is a set of guiding principles to make data  Findable, Accessible, Interoperable, and Reusable. The term FAIR was launched at a Lorentz workshop in 2014, the resulting FAIR principles were published in 2016.


  • F 1. (meta)data are assigned a globally unique and eternally persistent identifier.
  • F 2. data are described with rich metadata.
  • F 3. (meta)data are registered or indexed in a searchable resource.
  • F 4. metadata specify the data identifier.


  • A 1  (meta)data are retrievable by their identifier using a standardized communications protocol.
    • A 1.1 the protocol is open, free, and universally implementable. 
    • A 1.2 the protocol allows for an authentication and authorization procedure, where necessary.
  • A 2 metadata are accessible, even when the data are no longer available.


  • I 1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
  • I 2. (meta)data use vocabularies that follow FAIR principles.
  • I 3. (meta)data include qualified references to other (meta)data.


  • R 1. meta(data) have a plurality of accurate and relevant attributes.
    • R 1.1. (meta)data are released with a clear and accessible data usage license.
    • R 1.2. (meta)data are associated with their provenance.
    • R 1.3. (meta)data meet domain-relevant community standards.

Read more at Go Fair

FAIR in Sweden

In Sweden, the Swedish Research Council has been commissioned to coordinate Sweden's efforts to introduce open access to research data. VR has, on behalf of the Government, produced criteria for assessing how research data, which have been produced in whole or in part with public funding, meet the FAIR principles and compiled this in a report.

Kriterier för FAIR forskningsdata : Redovisning av regeringsuppdrag att ta fram bedömningskriterier för att följa vägen mot ett öppet vetenskapssystem

Picture: SangyaPundir [ CC BY-SA 4.0], from Wikimedia Commons

Did this answer your question? Thanks for the feedback There was a problem submitting your feedback. Please try again later.