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Short description
’FAIR evaluation results can serve as a pointer to where your FAIRness can be improved.’ (FAIRopoly)
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for an overview of available tools see FAIRassist;
several tools are evaluated and compared in FAIR assessment tools: evaluating use and performance;
RDMkit discusses several solutions.
While we focus specifically on the FAIRness of (meta)data in this step, it is also possible to possible to assess general FAIR awareness, for example by using the FAIR Aware tool provided by DANS.
Step 2
Decide which tool fits your goal(s) the best. Broadly, the tools fall into the two categories described below.
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In both cases, the result gives an indication about the FAIRness of the (meta)data. Additionally, tools may give advice how to improve FAIRness. It is important to bear in mind that outcomes of tools may vary due to, for example, differences in tests performed and subjectivity of the self-assessments surveys. See EOSC’s FAIR Assessment Tools: Towards an “Apples to Apples” Comparisons for more information this.
The tables below provide an overview of some of the more popular tools from both categories.
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The expertise required may depend on the assessment tool you want to use. Experts that may need to be involved, as described in Metroline Step: Build the Team, are described below.
Data FAIR data stewards. Specialist who can help filling out the surveys and questionnaires.
Research Software Engineerssoftware engineers. Specialists whocan help running some of the specialised software.
Practical examples from the community
Pending - Nivel Example
Tools and resources on this page
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Online self-assessment surveys
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Online (Semi-) automated tests
FIPs
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Training
Relevant training will be added in the future if available.
Suggestions
Visit our How to contribute page for information on how to get in touch if you have any suggestions about this page.