Applied Data Management Seminar – Professional Research Data Practices in Projects

In this data steward training, you will gain in-depth knowledge of the research data infrastructure, develop solutions for discipline-specific requirements for research data management and learn how to support other researchers of your discipline in handling research data.

Topics

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
Gain knowledge of the research data infrastructure at TUM and national research data players, such as 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

Course language: English

Availability: 10 spots

Requirements:

Course on Research Data Management Essentials or other proven experience

Open to: TUM Researchers, TUM Doctoral Candidates