Skip to main content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
Overview: Research Data Management
In this guide you will learn how to:
- manage your data,
- deal with sensitive data,
- anonymize data,
- preserve and archive data.
Also information about how to exchange data with EUR colleagues, and how to run large datasets with the use of advanced computing power can be found in this guide.
Books about data management
Master students, research master students and PhD candidates.