Research data is the basis for scientific discovery. Research data is highly valuable, often created in time-consuming experiments and with expensive experimental settings. Research data is essential to verify scientific results.

The reproducibility of scientific research ensures the integrity of science. Therefore, good scientific practice requires meticulous documentation and archiving of research data. This includes the primary data measured as well as the algorithms used for analysis of the data.

Research data management is concerned with all questions regarding research data during the whole research lifecycle, i.e. how to

• organise and document data
• store, back-up and archive data
• share and publish data

Research Data Management is an integral part of the research process. It ensures that requirements of the university, research funders, and journals are met.