What is it?
Research Data Management (RDM) is a structured approach to managing the data used or generated in a research project. It involves data collection, processing, storage, sharing, and archiving. RDM not only organises data but also ensures its accessibility, reliability, and longevity according to research policy frameworks.
Why is it important?
- Properly managed data fosters transparency and reproducibility, reduces the risk of data loss, and increases the potential for data reuse.
- It ensures compliance with ethical norms, funder requirements, and legal regulations, thus establishing trust in research outputs.
- Boost collaboration, as shared data becomes a valuable resource for the broader scientific community, driving innovation and interdisciplinary research.
How to handle research data?
Discover methods for managing research data throughout the various phases of the research life cycle on the following pages.