Introducing FAIR Data Principles

What are FAIR Data Principles?

FAIR stands for Findable, Accessible, Interoperable, and Reusable. These principles were first published in 2016 and have since become the gold standard for scientific data management.

The goal of FAIR is to make data more useful — not just for humans, but also for machines. In an era of big data and automated analysis, having well-structured, well-described data is more important than ever.