This talk will introduce the concept of Findable, Accessible, Interoperable and Reusable (FAIR) data for organic chemists. We will use our recent analysis of data-sharing practice amongst researchers publishing in top organic chemistry journals, and lessons learnt in crystallography, as our context to explain the importance of FAIR data to drive discovery in the chemical sciences. We will highlight good and bad practice, introduce practical steps that researchers can take to improve the impact of their supporting data, and discuss work which is underway to support data-driven discovery in the chemical sciences. Finally, we will highlight the role of journal requirements for data-sharing and explore future challenges towards making spectroscopic data and the other main outcomes of organic chemistry research more accessible.