RDM Modular
Benefit from our curated RDM modules and create a tailored group training format, whether as a workshop or integrated into a lecture, in person or online. Our experts provide a solid theoretical foundation and share tips for subject-specific applications on key topics in research data management – tailored to your needs and practice-oriented.
Module Folder Structure
With the Folder Structure module, we support you in systematically reviewing your data organization and developing a sustainable, transparent folder structure. Through hands-on exercises, you will create a customized folder structure and document it directly during the workshop. To deepen your understanding, the module also covers the topics of metadata and the research data lifecycle.
Topics covered:
- Develop a sustainable folder structure
- Metadata basics
- Research data lifecycle analysis
Module Data Management Plan
In the module Data Management Plan (DMP), all essential components of a DMP are discussed. Case studies include projects funded by the EU, DFG (e.g., Excellence Clusters, SFB, TRR), and doctoral dissertations. You will gain a comprehensive overview of key aspects of research data management relevant to both grant applications and the research process.
Topics covered:
- Handling a data management plan
- Analyzing case studies
- Fundamentals of research data management
Module FAIR Principles
The module FAIR Principles explains the significance of this abstract acronym, particularly in the context of third-party funding. Tailored to your specific research field, you will learn which resources are needed to meet the guidelines. In this context, the module also provides a comprehensive overview of key aspects of research data management.
Topics covered:
- Understanding the FAIR Principles
- Applying the FAIR Principles
- Fundamentals of research data management
Book a group training
If you’re interested, feel free to contact us at researchdata(at)tum.de!
We will work with you to create the ideal training format for subject-specific requirements.
Methods: Input of specialists, exercises, exchange
Requirements: none
Target audience for the modules: TUM Scientists, TUM Doctoral Candidates, TUM Students
Costs: free of charge