Home > Publications database > The Helmholtz Knowledge Graph: driving the Transition towards a FAIR Data Ecosystem in the Helmholtz Association > print

001     1034359
005     20250512115734.0
024 7 _ |2 datacite_doi
|a 10.34734/FZJ-2024-07142
024 7 _ |2 DOI
|a 10.1007/978-3-031-78952-6_23
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037 _ _ |a FZJ-2024-07142
100 1 _ |0 P:(DE-HGF)0
|a Bröder, Jens
|b 0
111 2 _ |a The Semantic Web: ESWC 2024 Satellite Events
|c Hersonissos
|d 2024-05-26 - 2024-05-30
|w Greece
245 _ _ |a The Helmholtz Knowledge Graph: driving the Transition towards a FAIR Data Ecosystem in the Helmholtz Association
260 _ _ |c 2024
300 _ _ |a 1-5
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520 _ _ |a 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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700 1 _ |0 P:(DE-HGF)0
|a Preuss, Gabriel
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700 1 _ |0 P:(DE-Juel1)191136
|a D'Mello, Fiona
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|a Fathalla, Said
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700 1 _ |0 P:(DE-Juel1)185902
|a Hofmann, Volker
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700 1 _ |0 P:(DE-Juel1)186075
|a Sandfeld, Stefan
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856 4 _ |u https://2024.eswc-conferences.org/wp-content/uploads/2024/05/77770177.pdf
856 4 _ |u https://juser.fz-juelich.de/record/1034359/files/77770177.pdf
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|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|v Enabling Computational- & Data-Intensive Science and Engineering
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914 1 _ |y 2024
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