Event details

Academic Skills	Digital Literacy	Personal Development	Responsibility	Sustainability	Work Environment

Data is playing an increasingly important role in all areas of research. Anyone who has ever worked with data knows about the many possibilities and opportunities, but also about the challenges. It’s easy to lose track: What data am I actually dealing with? How can I or perhaps even how do I have to store it? Which steps do I need to document? How do I find suitable forms for my work that make my life easier and not harder? And so on.

In this seminar, participants will familiarize themselves with basic questions of data management and learn tips and tricks for handling data. The following topics will be covered:

• Handling data along the research process
• Different types and qualities of data
• Data documentation and organization (also in a team)
• Dealing with metadata
• Making data available for further research

Generally understandable examples are used to illustrate the use and documentation of data. In practical exercise phases, participants bring in their own projects from different disciplines and thus get to know a variety of data with their specific challenges.

Learning objectivesYou

• are aware of the scientific necessity and practical benefits of research data management (RDM) for (their own) research.
• know the stages of the research data cycle, central basic terms and information portals/documents of RDM (including those of the KIT).
• can locate their project in the research data cycle and name the associated challenges.
• are aware of the diversity of data (qualitative & quantitative) and can reflect on differences in relation to the challenges of RDM.
• are able to reflect on their data organization, identify weaknesses and look for solutions.

Workload for ECTS:

2 ECTS: Active participation in the seminar + completion of 2 data challenges + preparation of a reflection essay (approx. 3 pages) or adaptation of a data management plan