FAIR Data Self-Assessment Tool
Use this handy, researcher-friendly tool to discover how findable, accessible, interoperable and reusable (FAIR) your research dataset is and get practical tips on how to enhance its FAIRness.
This tool is divided into 4 sections, focusing on your dataset’s:
- findability
- accessibility
- interoperability
- reusability.
At the beginning of each section, you will be presented with an explanation of what it means for your dataset to be findable, accessible, interoperable and reusable.
You will then answer questions related to the extent to which your dataset aligns with the 4 principles.
Once you have completed a section, you will be given a percentage of your dataset’s alignment with the principle.
When all sections are completed, you will be given a percentage of how FAIR your dataset is overall.
Along the way, you will find explanatory pop-ups (“What is this?”), which clarify key concepts and provide further resources around the FAIR principles.
This tool is designed for:
- researchers
- data librarians
- IT staff.
Research software engineers (RSEs) developing FAIR data tools and services can use the FAIR Software Checklist, developed by the ARDC and the Netherlands eScience Center.
The FAIR principles emerged from the 2016 paper “The FAIR Guiding Principles for scientific data management and stewardship“. FAIR provides a useful framework for thinking about sharing data in a way that will enable maximum use and reuse.
- Find more training resources on FAIR.
- Learn more about making your data FAIR.
We are continually improving this tool and welcome feedback. Tell us what you think of this tool by completing the feedback form at the bottom of this page.