Sharing Data and FAIR Guidance

This collection of topics provides guidance on good practices for sharing your research data. This section introduces the FAIR principles and their importance, and provides step by step guidance on what is needed to make your research data and related outputs such as code and methods findable, accessible, interoperable, and reusable, whether or not you share them publicly. Guidance is given on choosing and writing licenses for your data, creating a data package to share or archive, and considerations for choosing a repository.