FAIR principles

FAIR Principles

This is a set of guidelines developed by the GO FAIR community that define how research data should be described, published, and stored to ensure it is easily findable, accessible, interoperable, and reusable.
The acronym FAIR stands for: Findable, Accessible, Interoperable and Reusable.

Check the graphic below to see if your research data is FAIR.

Infographic illustrating the four FAIR principles for research data, with explanations of what each means and how to comply. F – Findable: What it means: Others can easily find your data. How to comply: Provide proper metadata and assign a persistent identifier (e.g., DOI). A – Accessible: What it means: Your data is accessible to both humans and machines. How to comply: Share data when possible. If not due to ethical or legal reasons, publish metadata and information about alternative access. I – Interoperable: What it means: Your data can be integrated with other data and read by people and machines. How to comply: Use common or open (non-proprietary) file formats. R – Reusable: What it means: Your data can be reused by others. How to comply: Include clear documentation for understanding and reusing the data, and choose the right license.

Source: The FAIR Principles