Research Data Management
Research data management (RDM) is an essential component of scientific research. It concerns the process of collecting, processing, protecting, storing, and sharing your research data. Good RDM is important for many reasons. For instance, it helps you to:
- Handle personal and sensitive data in an appropriate way
- Protect against data loss and preserve scientific knowledge
- Improve the findability and impact of your research
- Allow others to validate and replicate your findings
- Save time and resources by avoiding errors
- Comply with the requirements of funders, GDPR, data policies of your institution and the Code of Conduct for Research Integrity
Funders, your university and faculty/institute ask all researchers to design for research data management by writing a Research Data Management Plan
in the initial stages of every research project.
Research Data Support
For the individual researcher, data management is about keeping track of research data and the way it is manipulated during its life cycle. Data management also helps to get an overview on where the data exists in what stage, where it will go next, and under which conditions it can be accessed.
For the community at large, research data management helps to improve and guarantee the transparency and reproducibility of research.
Accordingly, the data lifecycle deserves attention, documentation and planning for which the DCC provides support.
| Last modified: | 13 December 2022 11.33 a.m. |