Abstract
The Helmholtz Knowledge Graph aggregates metadata about digital assets and research output from the various institutional and siloed digital infrastructures within the Helmholtz association. It is part of the technical backbone of the Helmholtz FAIR data space, that is established by the “Helmholtz Metadata Collaboration” (HMC). It is used to drive change towards better metadata practices, increase visibility of data and provide useful data-based services. In this paper, we present how metadata describing Helmholtz’s digital assets and research outputs are harvested and uplifted. The data is made publicly accessible to both humans and machines through a user interface based text search and a SPARQL endpoint, respectively.
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Notes
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SPARQL endpoint: https://sparql.unhide.helmholtz-metadaten.de.
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Web front end: https://search.unhide.helmholtz-metadaten.de.
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Acknowledgments
This project was funded by the Helmholtz Metadata Collaboration (HMC), an incubator-platform of the Helmholtz Association within the framework of the Information and Data Science strategic initiative. The authors acknowledge the Helmholtz Data Federation (HDF) for providing services and compute on the HDF Cloud at the Jülich Supercomputing Centre (JSC). We thank our colleagues Pier Luigi Buttigieg, Thomas Jejkal, Oonagh Mannix, Anton Pirogov, Silke Gerlich and Mustafa Soylu for contributions to the unHIDE initiative, as well as the ODIS/ OceanInfoHub team for advice and sharing their architecture code.
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Bröder, J., Preuß, G., D’Mello, F., Fathalla, S., Hofmann, V., Sandfeld, S. (2025). The Helmholtz Knowledge Graph: Driving the Transition Towards a FAIR Data Ecosystem in the Helmholtz Association. In: Meroño Peñuela, A., et al. The Semantic Web: ESWC 2024 Satellite Events. ESWC 2024. Lecture Notes in Computer Science, vol 15344. Springer, Cham. https://doi.org/10.1007/978-3-031-78952-6_23
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DOI: https://doi.org/10.1007/978-3-031-78952-6_23
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