Research Data Management in Engineering Science: This new lecture offers you the ideal start: Why should I deal with this topic? Which tools can I use? What is metadata? What does FAIR data mean? Who can I store, archive and publish research data? Who can I access existing research data and re-use it? How do different subject areas in engineering or extramural research institutes handle their data?
Target group: Students with interest in a career within research and science. Students who deal with research data in their thesis, students with interest in data management. The modul can be recognized with 3 credits in most of engineering study programs. Please contact us for further details: benjamin.farnbacher@tum.de
Date: Thursday, 10:15-11:45, Campus Garching (mostly in presence)
Language: English
TUMonline: https://campus.tum.de/tumonline/pl/ui/$ctx/WBMODHB.wbShowMHBReadOnly?pKnotenNr=3032258&pOrgNr=15307