FAIR data

[1][2] The acronym and principles were defined in a March 2016 paper in the journal Scientific Data by a consortium of scientists and organizations.

[3] The abbreviation FAIR/O data is sometimes used to indicate that the dataset or database in question complies with the FAIR principles and also carries an explicit data‑capable open license.

In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing.

(Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.

For instance, principle F4 defines that both metadata and data are registered or indexed in a searchable resource (the infrastructure component).Before FAIR a 2007 paper was the earliest paper discussing similar ideas related to data accessibility.

[4] At the 2016 G20 Hangzhou summit, the G20 leaders issued a statement endorsing the application of FAIR principles to research.

[12] A 2017 paper by advocates of FAIR data reported that awareness of the FAIR concept was increasing among various researchers and institutes, but also, understanding of the concept was becoming confused as different people apply their own differing perspectives to it.

[15] The CARE principles extend principles outlined in FAIR data to include Collective benefit, Authority to control, Responsibility, and Ethics to ensure data guidelines address historical contexts and power differentials.

[2] In January 2020, representatives of nine groups of universities around the world produced the Sorbonne declaration on research data rights,[17] which included a commitment to FAIR data, and called on governments to provide support to enable it.