Research Data Management for Science and Engineering

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

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.

Lernziele: 
  • 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
Lehrmethoden: 

Presentations, exercises, discussion

Der Kurs ist für Promovierende in folgender Phase geeignet: 

Any Phase of the Doctorate

Teilnahmevoraussetzungen: 

none

Technische Voraussetzungen: 

Laptop or tablet recommended

Kursvorbereitung: 

none

Sonstige Informationen: 

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.

Kategorie: 
Fachspezifische Veranstaltung
Art der Veranstaltung: 
Seminar/Workshop
Veranstalter: 
Graduate Center of Engineering and Design
Verantwortung für Veranstaltung: 
Hauptverantwortung
Durchführung/Format: 
In Präsenz
Sprache: 
EN
Maximale Teilnehmendenzahl: 
28
Minimale Teilnehmendenzahl: 
8
Umfang in Stunden: 
4
Kosten: 
kostenfrei