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.

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.

What Is Data Management?

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.

Find and Use Data

Documenting your data makes it easier for you and others to reuse the data correctly at a later stage.

Document Data

Publishing one's research data has increasingly become part of the norm.

Store and Publish Data

FAIR data are findable, accessible, interoperable and reusable. By being FAIR, data can meet certain quality requirements for easy reuse.

FAIR data

If you work with personal or sensitive data you have to adhere to important legal and ethical aspects.

Handling Personal Data