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Published October 26, 2023 | Version v1
Poster Open

The Helmholtz Knowledge Graph & the unified Helmholtz information and data exchange (unHIDE)

  • 1. Forschungszentrum Jülich GmbH; Institute for Advanced Simulation - Materials Data Science and Informatics (IAS-9)
  • 1. ROR icon Alfred Wegener Institute for Polar and Marine Research
  • 2. Helmholtz-Zentrum Berlin für Materialien und Energie
  • 3. Forschungszentrum Jülich GmbH; Institute for Advanced Simulation - Materials Data Science and Informatics (IAS-9)

Description

Poster about the Helmholtz knowledge graph and the unified Helmholtz information and data exchange (unHIDE) initiative.

Helmholtz (meta)data is siloed in data infrastructures located in the respective Helmholtz centres. UnHIDE connects this data to the Helmholtz Knowledge Graph . The used technology is co-developed with external stakeholders. Data in the graph is provided for re-use for humans (UI, API) and machines (API, SPARQL). The graph improves visibility for researchers and centers, provides a single point of access to information in the Helmholtz association and allows queries and re-use of data across infrastructures, centers and research fields. With the Helmholtz Knowledge graph unHIDE reveals the current state of (meta)data across Helmholtz data holdings. Data connectivity and connection quality is low. Structured areas of the graph do not reflect Helmholtz entities (centers, repositories or infrastructures). We improve Helmholtz metadata records by uplifting provided documents and feed uplifted data back to the data source. For well known entities (i.e. Helmholtz research centers) we harmonize records through SPARQL updates. We resolve entities by assigning types and ids. Where possible, we infer entity types and ids through the assembled data. 

Files

2023-10-10_HMCConf_Poster_unHIDE.pdf

Files (9.6 MB)

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Additional details

Dates

Available
2023-10-10
Conference date