| Vol-4140 urn:nbn:de:0074-4140-x Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# LLMs4RDM 2025
Large Language Models for Research Data Management?! 2025

### Proceedings of the Workshop on Large Language Models for Research Data Management?!
co-located with the INFORMATIK Festival 2025 (55th Annual Conference of the German Informatics Society), September 18, 2025, Potsdam, Germany(INFORMATIK FESTIVAL)

### Potsdam, Germany, September 18, 2025.

Edited by

### Magnus Bender 1, 2
Sylvia Melzer 3, 4
Ralf Möller 3
Stefan Thiemann 5

1 Aarhus University, Center for Contemporary Cultures of Text, Jens Chr. Skous Vej 4, 8000 Aarhus C, Denmark
2 Aarhus University, Department of Management, Fuglesangs Allé 4, 8210 Aarhus V, Denmark
3 University of Hamburg, Institute for Humanities-Centered Artificial Intelligence (CHAI), 20354 Hamburg, Germany
4 University of Hamburg, Centre for the Study of Manuscript Cultures (CSMC), 20354 Hamburg, Germany
5 University of Hamburg, Center for Sustainable Research Data Management, Monetastraße 4, 20146 Hamburg, Germany

## Table of Contents

- Large Language Models for Research Data Management?! 2025 (LLMs4RDM 2025)1-4
  Magnus Bender, Sylvia Melzer, Ralf Möller, Stefan Thiemann
  Summary: There were 5 papers submitted for peer review to this workshop. Out of these, 5 papers were accepted for this volume, 1 as regular paper and 4 as short papers.

### Keynote

- Advancing RDM: From Immersion to Argumentation in Science 4-17
  Ralf Möller

### Regular Papers

- Talk to Your Database: An Open-Source in-context Learning Approach to Interact with Relational Databases through LLMs 18-30
  Maximilian Plazotta, Meike Klettke

### Short Papers

- Large Language Models in Labor Market Research Data Management: Potentials and Limitations 31-36
  Jens Dörpinghaus, Michael Tiemann
- Challenges in Automatic Speech Recognition in the Research on Multilingualism 37-44
  Edyta Jurkiewicz-Rohrbacher, Thomas Asselborn
- Improving Accessibility and Reproducibility by Guiding Large Language Models 45-55
  Florian Marwitz, Marcel Gehrke
- Verbalisation Process of a RAG-Based Chatbot to Support Tabular Data Evaluation for Humanities Researchers 56-63
  Thomas Asselborn, Magnus Bender, Florian Marwitz, Ralf Möller, Sylvia Melzer

2025-12-04: submitted by Sylvia Melzer, metadata incl. bibliographic data published under Creative Commons CC0
2025-12-22: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|