Sprecher
Beschreibung
As staff of the Helmholtz Metadata Collaboration (HMC), we used metadata harvested by HMC services to conduct a cross-provider analysis of how metadata is currently exposed across Helmholtz and to identify systematic issues that affect metadata quality.
The analysis focused on three priority fields that strongly influence discoverability and integration: identifiers, publication date, and resource type. For each field, we defined simple, reproducible assessment criteria to classify patterns, detect inconsistencies, and highlight common deviations from expected practices. Here we present initial results and the patterns observed across providers.
This work aims to make existing metadata practices visible and to facilitate community discussion around them. The results inform consultations with providers, contribute to understanding how heterogeneous metadata practices impact the Helmholtz Knowledge Graph and related services, and thereby support HMC's efforts to harmonize metadata across Helmholtz.