Master exercise "Research data management"
Dates, scope, examination
Every summer semester, 2 SWS, oral examination (0.5 h)
Leader
Jonathan Blumtritt (CCeH), Patrick Helling (DCH), Felix Rau (DCH)
Contact
fdm-lehre(at)uni-koeln.de
Registration form
Registration via KLIPS
Course content
Since the summer semester 2019, the DCH has been offering the exercise "Research Data Management" for Master's students, so far those of the Master's programs Information Processing, Media Informatics and Linguistics.
The exercise introduces basic concepts, guidelines and standards of research data management in the humanities and illustrates the perspective of research practice as well as data curation and data management on an equal footing. Particular attention is paid to the diversity of methods and the specific requirements of research data management in the humanities.
All students will receive individual data sets at the beginning of the exercise to help them acquire the RDM aspects covered in practice. In the course of the course, they will have to work through a wide variety of practical exercises in order to finally document them in a comprehensive data management plan.
Course program
Introduction to research data management
General aspects of research data management
Research data in the humanities
Conceptual and functional description and delimitation of data
Data, metadata and paradata
Comprehensive discussion of the functionality and logic of metadata (formats)
Workflows, versioning and traceability
Reproducibility, documentation and strategies for handling research data
Legal issues, data security
Discussion of copyright and data protection aspects when handling research data
Ethical issues
Discussion of ethical challenges in research data management
Repositories
Properties and modes of operation
Archiving, publication and reuse
Discussion of publication and reuse strategies
Data curation
Central aspects of data curation in the humanities
Standard data
Properties and functions of standard data
Data management plans
Comprehensive introduction to how data management plans work
Project management
Backup strategies and basic versioning functions, sensible data and folder organization