The FAIR principles (Findable, Accessible, Interoperable, Reusable) are guiding principles that aim to encourage data stewards to improve the ways in which research data can be found and reused by computational systems in today’s growing, complex data ecosystem. In this chapter, we’ll explore the scope of the principles and the tools you can use to evaluate and enhance the FAIRness of a dataset. We’ll also discuss the impact of the principles and explore how they have been endorsed.