Research Data Management
As a researcher you work daily with a lot of digital data. 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. Organising, storing and making such data reusable for the future has become a normal part of the research workflow. We support you in the handling of your data.
What Is Data Management?
With structured research data management you can process your data during each phase of the research process safely, efficiently and also ensure that the data is reusable after the publication of the results.
Find and Use Data
Some of the data produced by researchers is deposited in so-called repositories, i.e. digital archives. This data can be found and reused by others.
Document Data
Documenting your data makes it easier for you and others to reuse the data correctly at a later stage.
Store and Publish Data
FAIR Data
FAIR data are findable, accessible, interoperable and reusable. By being FAIR, data can meet certain quality requirements for easy reuse.
Handling Personal and Sensitive Data
If you work with personal or sensitive data you have to adhere to important legal and ethical aspects.