This collection aims to aggregate scholarly literature a well as grey literature on the principles of FAIR (findable, accessible, interoperable, reusable) data and its implications on research infrastructures.
The FAIR principles were first published by Wilkinson et al. in 2016. They are not supposed to serve as a standard but rather as guiding principles to enhance the machine-driven discovery and reusability of scientific outputs, especially data.
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Image from: fair - The Scholarly Kitchen (sspnet.org)
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|ScienceOpen disciplines:||Assessment, Evaluation & Research methods, Information & Library science, Information systems & theory|
|Keywords:||FAIR data, FAIR principles, research data management, data reuse, open science|