Titel | Zeit | Ort | Dozent |
---|---|---|---|
Research Data Management for Science and Engineering | 18.10.2023 10:00 - 15:00 (Mi) | MW 2101, Boltzmannstr. 15, 85748 Garching | verschiedene |
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:
Every phase
Teilnahmevoraussetzungen:
none
Technische Voraussetzungen:
Laptop or tablet recommended
Kursvorbereitung:
none
Kategorie:
Fachübergreifende 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:
30
Minimale Teilnehmendenzahl:
15
Umfang in Stunden:
5
Kosten:
kostenfrei
Trainer:
ED: Prof. Dr.-Ing. Christian Stemmer, Friedrich Ulrich, Benjamin Farnbacher, Vasiliki Sdralia; UB: Dr. Sascha Grusche, Katja Kessler; LRZ: Dr. Stephan Hachinger
All the lecturers are are research data management experts from different fields of application, as University Library, Leibniz Supercomputing Centre and Engineering (Aerodynamics)