Research Data Management

The lecture will give an overview about the fundamentals of research data management, bringing order into data collection, documentation, storage and use including basic concepts of metadata description. It will address the finding and accessing research data from multidisciplinary data sources. It will show the use of scientific data portals, metadata supported search and introduce domain specific scientific data formats, standards and terminologies.

Students are acquainted to the data life-cycle and the FAIR data principles.
Students will learn how to understand and select appropriate ontologies and community standards.

Active participation
Exam

Klausur

Will be provided in the lecture

1. SWS: Introduction of teachers and overview of the content of the lecture, exercise and seminar
2. SWS: Overview of research data management, data life-cycle and the FAIR data principles
3. SWS: Experimental design and data acquisition, sample management
4. SWS: Metadata standards and Ontologies
5. SWS: Quality assessment
6. SWS: Persistent Identifiers (PIDs)
7. SWS: Data centers, data archiving and publication
8. SWS: PANGAEA - Data Publisher for Earth and Environmetal Science
9. SWS: Data Curation
10. SWS: Data extraction and processing
11. SWS: Data Management Planning
12. SWS: Legal aspects, licences
13. SWS: Nagoya protocol on access and benefit sharing
14. SWS: Summary of the lecture, Q&A