Report

PUBDB-2026-00400

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Forum Helmholtz Research Data Commons: Enhancing Research Data Workflows for and with AI

Curdt, C. ; Genderjahn, S. ; Lange, M. ; Lemster, C. ; Vleugel, M. ; Jones, E.DESY* ; Kesselheim, S. ; Kostunin, D.DESY* ; Strube, A.

2025
Helmholtz Open Science Office and Helmholtz Metadata Collaboration (HMC)

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Please use a persistent id in citations: doi:10.5281/ZENODO.17265957  doi:10.3204/PUBDB-2026-00400

Abstract: The Forum Helmholtz Research Data Commons serves as a collaborative format to improve research data management at the Helmholtz Association. This report documents the forum on Enhancing Research Data Workflows for and with AI, held on 30 September 2025. It featured presentations on data readiness for artificial intelligence (AI) applications from a practitioner’s perspective, on the Helmholtz’ large language model (LLM) service BLABLADOR and on a use case of LLM applications in astronomy. A pitch on possible applications of AI in data management commenced a subsequent discussion. The discussion highlighted both the opportunities and challenges of enhancing research data workflows through AI, and showed that the issue demands not just technology, but a holistic approach focused on improving data quality and sustainability.

Keyword(s): open science ; research data ; research data management ; artificial intelligence

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Contributing Institute(s):

1. Datenverarbeitung (Z_DV)

Research Program(s):

1. 613 - Matter and Radiation from the Universe (POF4-613) (POF4-613)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2025

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