Participants will gain a basic understanding of how generative AI and large language models work and what implications this has for their use for research data management. The session will use a sample research project to explore the areas in which AI can support research data management.

Contents:

• Fundamentals of generative AI and large language models

• Capabilities and limitations of current AI systems

• Research versus generation: Which tool is best suited for which purpose?

• AI-assisted research based on standards, requirements, and best practices

• Critical evaluation of sources and assessment of AI-generated research results

• Initial application to a specific RDM case

Learning Objectives:

Participants will be able to…

• explain the basic principles and limitations of generative AI and large language models,

• distinguish between different AI tools in terms of their use for research and generation,

• identify appropriate applications of AI in research data management,

• critically evaluate AI-assisted research results and the sources used.

Registration form (deadline: 01.11.2026)