Training Objectives:
- Learn to apply and communicate sustainable RDM measures
- Write project-specific data management plans
- Develop concepts for reproducibility and quality assurance of research data
- Get to know the research data infrastructure of TUM and national initiatives, e.g., NFDI
- Gain insights into key initiatives, projects, and developments in the RDM ecosystem
- Share and analyze best practices
Methods:
Expert input, exercises, individual work, group work, discussions, project work
Schedule, Procedure, Workload:
- Classroom Sessions:
Every second Monday of the month from 1:00 PM to 4:00 PM
Dates: 13 Oct 2025, 10 Nov 2025, 8 Dec 2025, 12 Jan 2026, 9 Feb 2026
Place: Campus Munich, Meeting Room 2180 (Branch Library Main Campus)
During in-person meetings, group work and short input sessions will be used to identify challenges in research data management.
- Self-Study Phases:
Between the classroom sessions, you will apply the acquired knowledge to your own field through self-study and project work.
Workload for the winter semester 2025/26: approx. 60 hours
- Digital Reflection Sessions:
Once per month, fridays from 10:00 AM to 11:30 AM
Dates: 7 Nov 2025, 5 Dec 2025, 9 Jan 2026, 6 Feb 2026
Place: via Zoom, participants will receive the meeting link separately.
In the online reflection sessions, you will discuss your insights and derive concrete recommendations for action.
Regular participation in the sessions, self-study, and project work is required to receive a certificate of participation.
Course language: English
Availability: 10 spots
Requirements: Course on Research Data Management Essentials or other proven experience
Apply until 31 August 2025
