Research data management (RDM) is an integral part of the scientific research process and one of the pillars of modern scientific discovery. It relates to the handling and management of your data through the entire project, starting from grant writing and continuing all the way to the long-term archiving of your datasets. Good research data management at every stage of this 'data lifecycle' supports your scientific work.
Click on the topic of your interest in the circle above to see a curated list of resources to help you:
- store, share, and manage your data safely without worrying about data loss or corruption, allowing you to focus more on your science;
- facilitate easy collaborations with clear data provenance by establishing clear data sharing and attribution methods;
- archive data so they are Findable, Accessible, Interoperable, Reusable (FAIR) for future use and collaboration;
- increases the visibility of your work within your scientific community.
