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[Hannah: the 2022 paper does not recommend using offline tools, and I kind of agree. So maybe we don’t include this category at all? Especially because one of the links is dead anyways..]
we evaluated FAIR assessment tools in terms of 1) the prerequisite knowledge needed to run the tools, 2) the ease and effort needed to use them and 3) the output of the tool, with respect to the information it contains and the consistency between tools. This should help users, e.g., in the nanosafety domain, to improve their methods on storing, publishing and providing research data. To do this we provide
guidance for researchers to pick a tool for their needs and be aware of its strong points and weaknesses.
The selected tools were split up into four different sections, namely online self-assessment/survey, (semi-)automated, offline self-assessment and other types of tools. The tool selection was based on online searches in June 2020.
They compare:
The FAIR Data Maturity Model
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