Research Data Management for Science and Engineering

TitleTimeRoomTeacher
Research Data Management for Science and Engineering22.10.2024 09:00 - 13:00 (Tue)Raum MW 2101, Boltzmannstr. 15, 85748 GarchingProf. Dr.-Ing. Christian Stemmer, Benjamin Farnbacher, Yu Jiao, Vasiliki Sdralia, Katja Kessler, Sonja Thielen, Johannes Munke
Course Description: 

Would you like to manage your research data (more) efficiently? You will learn how to structure, document and publish your research data, how to comply with policies and legal requirement and which tools and resources can support you.

This workshop will introduce researchers to the basics of research data management (RDM), including requirements and duties for scientists as well as tools and systems available at TUM and LRZ.

Course aims: 
  • Awareness for research data management
  • Bookkeeping in your own research
  • Exchange and dissemination of research data
  • Finding and reusing research data
  • Use of metadata and metadata schemas
  • Knowledge of tools and systems at TUM and LRZ
Teaching methods: 

Presentations, exercises, discussion

This course fits doctoral candidates in the following phase: 

Any Phase of the Doctorate

Participation requirements: 

none

Technical requirements: 

Laptop or tablet recommended

Course preparation: 

none

Additional information: 

In the event of late cancellation (less than 3 weeks before the start of the course) or no-show, an apology signed by your supervisor will be requested.

Category: 
Fachspezifische Veranstaltung
Event type: 
Seminar/Workshop
Organizer: 
Graduate Center of Engineering and Design
Responsibility for event: 
Hauptverantwortung
Format: 
In Präsenz
Course Language: 
EN
Course Capacity (Max): 
28
Course capacity (Min): 
8
Duration in hours: 
4
Financial contribution: 
kostenfrei