Research Data Management (RDM)
As a researcher you work daily with a lot of digital data. Organising, storing and making such data reusable for the future has become a normal part of the research workflow. The University Library supports you in the handling of your data.
What Are Research Data?
Research data are all data that are generated during the research process. Depending on the discipline you work with different types of data: measurement data, laboratory data, textual data, code, tabular data, audio data, visualizations, graphics, etc.
Research Data Life Cycle
Research data goes through various different stages during a research project. With structured research data management you can process your data during each stage safely, efficiently and also ensure that the data is reusable after the publication of the results.
The Goals of Research Data Management
Data management aims to make data findable, interpretable and reusable on a long-term basis. Good research data management should fulfill the following requirements:
- The data of a project are open and accessible at the latest upon the time of the publication
- Based on your shared data others can reproduce your findings
- Your data are archived in a FAIR-compatible repository
- Sensitive data are anonymised - if possible - and then shared
How to Do Research Data Management
Find more information on:
Writing a Data Management Plan
Find and Use Data
Store and Share Data
Dealing with Sensitive Data