DSC-2026-04 | Create Your Own Data Management Plan: A Hands-on Workshop for Quantitative Data
Why is the topic important?
Effective research today depends not only on generating high-quality data but also on managing it responsibly and sustainably. This hands-on workshop introduces participants to the essentials of creating a Data Management Plan (DMP), a key requirement for many funding agencies and an increasingly valuable tool for ensuring data integrity, reproducibility, and long-term accessibility.
Workshop Goal
The workshop is structured in two parts. In the first part, participants will learn the key concepts of DMPs, including their purpose, core components, and best practices in the context of STEM disciplines and quantitative data. In the second part, participants will apply this knowledge in a practical session, developing their own DMPs, either for their own dataset or for an example dataset provided during the workshop. The session will follow the DFG guidelines on research data handling in DFG-funded projects.
By the end, attendees will leave with both a solid understanding of DMPs and a tailored DMP draft that they can adapt for future projects.
Disclaimer: In this workshop, we cannot and will not provide legally binding advice regarding sensitive data. However, we will discuss important pitfalls and resources you can use.
As a DSC data scientist and environmental scientist, Annika Nolte supports researchers with their data management and analysis workflows. In training and consulting, Annika draws on broad expertise in Earth system sciences and extensive experience in scientific programming. Her main focus areas are data standardization, data management, statistical methods, geospatial analysis, and machine learning in environmental and marine sciences.
Sarah Büker works as a Data Scientist at the Data Science Center (University of Bremen). She holds a Bachelor’s degree in Biological Sciences from the University of Osnabrück and a Master’s degree in Marine Environmental Sciences from the University of Oldenburg. In her work, she specializes in bioinformatics, scientific programming, and accessible data management and standardization in quantitative research.