Institutional data science services at FDZ UB Mannheim: Enhancing research data management


Shigapov, Renat ; Schumm, Irene ; Schmidt, Thomas ; Kamlah, Jan ; Will, Larissa


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DOI: https://doi.org/10.11588/heibooks.1652.c23916
URL: https://books.ub.uni-heidelberg.de//heibooks/catal...
URN: urn:nbn:de:bsz:180-madoc-711483
Document Type: Conference or workshop publication
Year of publication: 2025
Book title: E-Science-Tage 2025 : Research Data Management : Challenges in a Changing World
Page range: 94-101
Conference title: E-Science-Tage 2025: Research Data Management: Challenges in a Changing World
Location of the conference venue: Heidelberg, Germany
Date of the conference: 12.-14.03.2025
Publisher: Heuveline, Vincent ; Kling, Philipp ; Heuschkel, Florian ; Habinger, Sophie G. ; Krömer, Cora F.
Place of publication: Heidelberg
Publishing house: heiBOOKS
ISBN: 978-3-911056-52-6 , 978-3-911056-51-9
Related URLs:
Publication language: English
Institution: Zentrale Einrichtungen > University Library
Pre-existing license: Creative Commons Attribution, Share Alike 4.0 International (CC BY-SA 4.0)
Subject: 004 Computer science, internet
Individual keywords (German): KI , Data Science , Forschungsdatenmanagement , FDM Services
Keywords (English): data science services , RDM services , AI , research support
Abstract: Data science services have rapidly emerged as essential support mechanisms for research data management (RDM) at universities worldwide. In alignment with these developments, the research data center (FDZ) at the Mannheim University Library (UB Mannheim) has established institutional data science services at the University of Mannheim. Our goal is to enhance RDM, promote open science, and contribute to research reproducibility. FDZ supports researchers across the complete data science pipeline, emphasizing advanced data collection methods (OCR, audio/video transcription, API integration, web scraping) and chatbot and large language model (LLM) applications. Our services include data-science-as-a-service, education and training, consultancy, community engagement, and integration of data science methods within internal library workflows. In this paper we introduce our services, describe the challenges we faced, and analyze the impact these services have had on RDM at the University of Mannheim.




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