Introduction – FAIR data, systems and analysis

Paul Groth* (Editor), Michel Dumontier

*Corresponding author for this work

Research output: Contribution to journalEditorialAcademicpeer-review

Abstract

The FAIR principles outline key attributes to make digital resources more Findable, Accessible, Interoperable, and Reusable. Globally endorsed and widely adopted, there is now a pressing need to enable the establishment of an Internet of FAIR Data and Services, to demonstrate how these can be used to generate new insights, and to assess the overall value for FAIR across different sectors. Realizing the value of the FAIR principles will require a combination of scientific, technical, social, legal, and ethical advances for the production, sharing, discovery, assessment, and reuse of data. This special issue highlights research and software that is making FAIR data and services a reality.

Original languageEnglish
Pages (from-to)1-2
JournalData Science
Volume3
Issue number1
DOIs
Publication statusPublished - 12 Jun 2020

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