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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.