FAIR-Aware is an online tool which helps researchers and data managers assess how much they know about the requirements for making datasets findable, accessible, interoperable, and reusable (FAIR) before uploading them into a data repository.
The tool comprises 10 carefully designed questions, each generously supplied with additional information and practical tips which extend users' understanding of the FAIR principles as they work through the questionnaire with a target dataset in mind.
Presented in a clear and informative way and suitable for different research domains, FAIR-Aware provides tips for each question, making it easier for users to understand difficult topics and helping them learn how to make their data more FAIR. Part of this guidance also supports researchers in the choices they need to make to choose a repository to deposit their data in, and how to collaborate with that repository to create a FAIR dataset.
Who is the service for
Level at which the tool/solution/approach is intended to be used
Data service provider (e.g., repositories, registry services)
Main users: Repository or Service Manager; other (Researchers)
Expertise needed: No specific expertise needed.
Multimedia reference FAIR-Aware tool in English and French
Contact information
