Fair Forward

The FAIR principles refer to a set of guiding principles for making data "Findable, Accessible, Interoperable, and Reusable." These principles were first introduced in a 2016 publication in the scientific journal Scientific Data.

The FAIR principles are increasingly recognized as a foundational framework for improving the management and sharing of research data across various scientific domains and research disciplines. By adopting and implementing the FAIR principles, researchers and organizations can help ensure that research data is more easily discoverable, accessible, and reusable, leading to more efficient and effective research outcomes.

Here is a brief description of each of the four FAIR principles:

• Findable: Data should be easy to find for both humans and machines, using metadata and unique identifiers.
• Accessible: Data should be openly accessible and available to all, under appropriate legal and ethical constraints.