The Research Data Management Network has developed workflows and guidelines to support researchers in integrating the university’s data and information classification in their research data management (RDM) processes.

In collaboration with researchers, three use cases were carried out that illustrate specific RDM steps for selected data types throughout their research data lifecycle:

• Qualitative Data from Interviews and Focus Groups at the Institute for Biomedical Ethics (IBMB)
• Routine Data from Healthcare Providers at the Institute of Nursing Science (INS)
• Digital Survey Data at the Department for Pharmaceutical Sciences (DPhW)

The workflows and guidelines provide practical guidance for RDM processes related to specific data types and incorporate the requirements of the university’s new data and information classification.

Researchers from all disciplines are welcome to use the workflows and guidelines as templates for their RDM processes and adapt them to their own data types. To assist with this, we have published a document on Zenodo that offers useful tips and guidance for adaptation: https://doi.org/10.5281/zenodo.20392357

You are welcome to use these workflows and guidelines yourself and share them with your colleagues!