Self-Assessment Tool to Improve the FAIRness of Your Dataset

This Zenodo record captures the 'Self-Assessment Tool to Improve the FAIRness of Your Dataset (SATIFYD)' tool, which has been discontinued and archived. The succeeding tool which is currently actively supported is FAIR-Aware.

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Welcome to SATIFYD: the DANS Self-Assessment Tool to Improve the FAIRness of Your Dataset. This tool will show you how FAIR (Findable, Accessible, Interoperable, Reusable) your dataset is and will provide you with tips to score (even) higher on FAIRness. Ideally, you use this tool prior to the deposit in EASY.

The 12 questions touch upon the FAIR data principles but do not strictly follow them. While answering the questions, the score per letter will be displayed underneath each letter. The more ‘blue’ the letters get, the more FAIR your dataset is. An overall score is provided at the end of the page.

Some questions are posed more than once (e.g. on metadata and data standards or usage licences), because the topics are relevant in more than one letter.

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SATIFYD was established by DANS: Eliane Fankhauser, Jerry de Vries, Nina Westzaan, Vesa Åkerman in 2019. Its layout is based on and inspired by the ARDC FAIR self assessment tool. The initial idea and a first prototype were established by Peter Doorn, Eleftheria Tsoupra and Emily Thomas at DANS in 2017-2018.