This document describes a maturity model for FAIR assessment with assessment indicators, priorities and evaluation methods. This is useful for the normalisation of assessment approaches to enable comparison of their results.
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Findability, Accessibility, Interoperability and Reusability – the FAIR principles – intend to define a minimal set of related but independent and separable guiding principles and practices that enable both machines and humans to find, access, interoperate and re-use research data and metadata. The FAIR principles have to be considered as inspiring concepts but not strict rules. Unfortunately, they often lead to diverse interpretations and ambiguity.
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This document is a first output of the FAIR Data Maturity Model WG. This resulted in five slide decks, combined in this pdf document, that make up this preliminary analysis.
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