Sharing Data and FAIR

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 FAIR, whether or not you share them publicly.

📄️ Sharing Research Data

Learn about the benefits of sharing your research data and what you can do if you cannot publicly share your data.

🗃️ What are FAIR Data?

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📄️ Making Your Research Data FAIR

Learn how to define your FAIRification goals and how to make your research data FAIR.

📄️ Licences for Your Data

Learn about licences for research data, how you can apply them to your own data and for data that you reuse.

🗃️ Creating a Data Package

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📄️ Choosing a repository

Learn about what makes different kinds of repositories good for publishing or archiving your research data. Explore repositories that might be suitable for particular kinds of physical sciences data.