Research data management (RDM) refers to the processes involved in efficiently and effectively handling research data throughout its lifecycle.
This includes:
At the planning stage (before your project starts), create a data management plan to outline how data will be collected, stored, shared and archived in line with legal, ethical, institutional and funder requirements, and also make information services aware of your IT requirements so that they can effectively support you.
During your project, to ensure data are well-organised and properly documented to support discoverability and reuse, and implement strategies for safe storage and backup to prevent data loss and unauthorised access.
After your project, the preservation and, where appropriate, sharing of research data to make it available for future research and to meet retention requirements.
Effective RDM helps maximise the impact of research by ensuring data is accessible, reusable, and preserved for the long-term.