NFDI4Energy Task Area 4: FAIR Data for Energy System Research
dc.contributor.author | Wein, Amanda | |
dc.contributor.author | Reinkensmeier, Jan | |
dc.contributor.author | Weidlich, Anke | |
dc.contributor.author | Lilliestam, Johan | |
dc.contributor.author | Hagenmeyer, Veit | |
dc.contributor.author | Lehnhoff, Sebastian | |
dc.contributor.editor | Klein, Maike | |
dc.contributor.editor | Krupka, Daniel | |
dc.contributor.editor | Winter, Cornelia | |
dc.contributor.editor | Wohlgemuth, Volker | |
dc.date.accessioned | 2023-11-29T14:50:18Z | |
dc.date.available | 2023-11-29T14:50:18Z | |
dc.date.issued | 2023 | |
dc.description.abstract | The NFDI4Energy consortium will create a research data infrastructure for energy system research, emphasizing the openness and FAIRness of data and models in this research domain. Within the consortium, Task Area 4 focuses on the development of resources and services that will provide a semantic layer for the overall platform built by NFDI4Energy. The team of this Task Area will produce artifacts including a domain ontology, metadata standards, a knowledge graph, a Persistent Identifier service, and integration infrastructure to join these artifacts to the NFDI4Energy platform. | en |
dc.identifier.doi | 10.18420/inf2023_106 | |
dc.identifier.isbn | 978-3-88579-731-9 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43026 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | INFORMATIK 2023 - Designing Futures: Zukünfte gestalten | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-337 | |
dc.subject | FAIR Data | |
dc.subject | Metadata | |
dc.subject | Ontologies | |
dc.subject | Energy System Research | |
dc.subject | Research Data Infrastructure | |
dc.title | NFDI4Energy Task Area 4: FAIR Data for Energy System Research | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 944 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 937 | |
gi.conference.date | 26.-29. September 2023 | |
gi.conference.location | Berlin | |
gi.conference.sessiontitle | Öffentliche Infrastruktur - Research Data Infrastructures for Data Science and AI (RDI4DataScience) |
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