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FAIR

In order for research data to be understood and used by more people and also in the future, they must be described and stored in such a way that this is possible. FAIR is a set of principles that will ensure that this is possible to the greatest extent possible.

What is FAIR?

FAIR stands for Findable, Accessible, Interoperable and Re-usable.

Commonly not all the aspects of the different principles can be accomplished, the level FAIRness will vary according to subject area and type of data.

Findable

  • (Meta)data are assigned globally unique and persistent identifiers
  • Data are described with rich metadata
  • Metadata clearly and explicitly include the identifier of the data they describe.
  • (Meta)data are registered or indexed in a searchable resource.

Accessible

  • (Meta)data are retrievable by their identifier using a standardised communications protocol.
  • The protocol is open, free, and universally implementable, the protocol allows for an authentication and authorisation procedure where necessary.
  • Metadata should be accessible even when the data are no longer available.

Interoperable

  • (Meta)data use a formal, accessible, shared, and broadly applicable language ​​for knowledge representation.
  • (Meta)data use vocabularies that follow the FAIR principles.
  • (Meta)data includes qualified references to other (meta)data.
  • (Meta)data are stored in file formats that support long-term sustainability and accessibility

Reusable

  • (Meta)data are richly described with a plurality of accurate and relevant attributes.
  • (Meta)data are released with a clear and accessible data usage license.
  • (Meta)data are associated with detailed documentation/provenance
  • (Meta)data meet domain-relevant community standards.

This list is based on the principles listed on the Go-Fair's website.

Any questions?

Send an email to: research-data@uio.no

Published Sep. 29, 2022 2:15 PM - Last modified Oct. 13, 2022 9:01 AM