Service Group Research Data Management
Research data are the foundation of scientific work, and their effective management is integral part of research process. Research data management (RDM) ensures that data is well-organized, securely stored and preserved for long-term use.
With the ongoing advancements in research and technology, the volume of data produced at various stages of research and development continues to grow significantly. This increase requires robust strategies to ensure data are findable, accessible and reproducible. Proper RDM enables knowledge exchange, translates research outputs into machine-readable formats and enhances transparency.
At INM, we aim to promote and support effective data management practices by enhancing awareness and fostering cultural change towards the broader adoption of FAIR (Findable, Accessible, Interoperable, Reusable) data principles and reproducible research practices.
Why RDM matters:
- Minimizes the risk of data loss
- Increases visibility of research data, leading to citations and new collaboration opportunities
- Strengthens research integrity and reproducibility
- Increases research impact through effective knowledge transfer
- Supports data reuse
- Ensures compliance with funder and institutional policies and requirements