Research Data Management

Research data management can still be seen as a cultural change. The traditional output of scientific work has always been “the paper”. The publication in a journal was the way to make your research count. And it still holds true today. But additional ways to publish your work have emerged. Since science is becoming more data-driven day by day, research data has become a valid product of science, which should be published or at least made available to the community. The guiding idea for RDM @ MATH+ is to provide a single point of entry to all research data which has been dealt with in our projects. We don‘t want to create an additional silo where data has to be stored but have a system which acts a bibliographic evidence or finding aid for your research data.


The slides from the presentation on research data management at the orientation day in Oktober 2023 can be found here.

Data Management Plans with RDMO

MATH+ relies on the Research Data Management Organiser (RDMO). RDMO startet out as a DFG funded research project in 2015 and over the last years gathered a considerable momentum in the RDM Community. The MATH+ instance can be found under:

Some background information for the tool can be found in the members area.

We follow the approach of having a guided online interview for all things concerning the management of data in the various projects of our cluster. Filling in this interview results in a DFG compliant Data Managment Plan, which helps you cover all relevant aspects of handling your data. It can be shared with others due the course of your project and act as a sort of How-To for the data, comes the time for publishing or reuse.

If you first want to have a look at one of the finer DMPs please follow this downloadlink. We also have a template for projects which really do not have any data. Please contact

Policies or Code of Conduct

Since all the members in MATH+ are employed at one of the partner institutions their respective policies for handling research data are the first go-to if questions arise. Over the lifetime of MATH+ more best practices will emerge which will then be published on this page.


Here you can find the research data policy of: