Erlangen 2026 – scientific programme

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T: Fachverband Teilchenphysik

T 34: Data, AI, Computing, Electronics IV

T 34.10: Talk

Tuesday, March 17, 2026, 18:30–18:45, KH 02.014

Data- and Metadata Management at HZDR — •Stefan E. Müller, Thomas Gruber, Oliver Knodel, David Pape, and Martin Voigt — Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany

The integrity and utility of research output critically depends on both data and metadata. While data comprise the primary outputs of experiments, simulations or analyses, metadata describe the origin, structure, semantics, and context of the data, enabling the interpretation, discovery, and reuse. Metadata are essential for ensuring compliance with the FAIR principles (Findable, Accessible, Interoperable, and Reusable), and failure to adequately define or manage metadata leads to poor reproducibility and limited interoperability.

At HZDR, the Helmholtz-Zentrum Dresden-Rossendorf, researchers profit from the "Rossendorf Data Repository" RODARE, which allows them to publish their research data. Especially for large data sets, which can contain up to several Terabyte of data, a good description of the metadata is required to allow a practical reuse of the data sets. The SciCat metadata catalog is used at HZDR to provide the corresponding metadata together with a RODARE data publication.

The presentation will describe how SciCat and RODARE are used together to make a large data set FAIR.

Keywords: Data Management; Data Repositories; Meta Data; FAIR data