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The FAIR data principles

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.

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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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Laura Rothfritz

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Maxi Kindling

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