Data management plans

A data management plan (DMP) describes how you will handle your research data during a project, how you envisage storing, documenting, maintaining and processing your data. A systematic consideration of these aspects already in the planning process ensures research data quality in the long term, as precautions are taken for the traceability, secure storage and findability of the data.

A DMP considers the entire research process and is continuously adapted to the changing conditions of a project. It is thus part of the project management of a research project.

To create a DMP, we provide the tool TUdmo.

Contents of a DMP

Before the start of a project, it is sensible to determine who is responsible for handling research data and to clarify, for example, the following aspects:

What data will be generated and used?

What type of data is involved?

What data should or must be kept?

What additional information is needed to understand the data?

When is the data selected?

How long should the data be kept?

When and where will the data be archived or published?

Who is allowed to reuse the data?

Overall, it is a matter creating clarity about the processes and technologies throughout the entire research data life cycle of research data.

Data management plan requirements from research funding agencies

Research funders are increasingly demanding the creation of DMPs in the context of third-party funded projects,. This applies particularly to EU-funded projects. In the EU's Horizon Europe programme, the creation and maintenance of a DMP is now mandatory.

The DFG supports the application process by offering a Checklist for Applicants for planning and describing research data handling in research projects. (opens in new tab)