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Step 1
There are many tools which can that help you to gain insight into assess the FAIRness of your (meta)data before you commence starting the FAIRification process. For an overview of available tools see FAIRassist. Several tools are evaluated and compared in FAIR assessment tools: evaluating use and performance. Also, RDMkit discusses several solutions.
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Tool | Description | Work on your side |
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Provided by Australian Research Data Commons, this 12-question online survey provides a visual indication on the FAIRness level of your (meta)data and provides resources on how to improve it. From October 2023 until May 2024, the site had around 2500 visitors who actively engaged with the page. | Fill in the 12 questions in the survey, potentially with help of a FAIR expert/data steward. | |
Based on the FAIR principles and sub-principles, the Research Data Alliance created a list of universal 'maturity indicators'. These indicators are designed for re-use in evaluation approaches and are accompanied by guidelines for their use. The guidelines are intended to assist evaluators to implement the indicators in the evaluation approach or tool they manage. Their The work resulted in a checklist (with extensive description of all maturity indicators), which can be used to assess the FAIRness of your (meta)data. The FAIR Data Maturity Model is recommended by, amongst others, HL7. | Download the Excel file from Zenodo and in the ‘FAIR Indicators_v0.05’ tab, give a score to the 41 different ‘maturity indicators’, by selecting the level from the drop-down menu in the ‘METRIC’- column, that fits the status if your (meta)data best. Potentially perform this with assistance of a FAIR expert/data steward. View the results in the ‘LEVELS' tab. Detailed definitions and examples for all 'maturity indicators’ can be found in the documentation on Zenodo. |
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