Cour­se de­s­crip­ti­on

Nr. 330.08Research Data Management - Data Organization
Date11.12.2025, 14-16 p.m.
Locationin presence
Target groupAll university staff members
Group sizemax. 20 Participants
Course aimsAt first glance, organizing data in (research) projects may seem like an additional effort. However, over the course of a project—and especially when collaborating with other researchers—its value becomes quickly apparent. This workshop focuses on organizing data both on one’s own computer and with the help of version control systems such as Git. Data Curation Profiles offer a clear structure for data, which fosters better understanding of processes—not only in collaborative settings. Moreover, well-organized data significantly supports the reproducibility of research.
Content
  • Why is it important to organize data effectively?
  • Basic principles of data organization
  • What is a Data Curation Profile and how is it created?
  • What is version control and which tools (e.g., Git) are available?
  • Data organization and collaboration
MethodsLecture, software demonstration, and collaborative creation of a Data Curation Profile. Participants are welcome to bring their own data.
TrainerDennis Friedl and Daniel R?wenstrunk
Trainer?s backgroundBoth speakers work at the Research Data Management Contact Point at Paderborn University.
NoteThis is the third part of our workshop series and builds on "Overview of Research Data Management Topics and Data Management Plans, but participation in the previous workshops is not a prerequisite.
Registration deadline

1 week before the start of the event

On the day of the registration deadline we decide on the basis of the registrations whether an event can take place or not. Therefore, please register promptly if you are interested! The more registrations we receive, the more certain we can hold the event. Of course, you can still register after the registration deadline if there are still places available.

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