Community and Training in NFDI4DS
dc.contributor.author | Lorenz, Anna-Lena | |
dc.contributor.author | Christoforaki, Maria | |
dc.contributor.author | Hennig, Christine | |
dc.contributor.author | Kraft, Angelie | |
dc.contributor.author | von Maltzan, Stephanie | |
dc.contributor.author | Schimmler, Sonja | |
dc.contributor.editor | Klein, Maike | |
dc.contributor.editor | Krupka, Daniel | |
dc.contributor.editor | Winter, Cornelia | |
dc.contributor.editor | Wohlgemuth, Volker | |
dc.date.accessioned | 2023-11-29T14:50:17Z | |
dc.date.available | 2023-11-29T14:50:17Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Key to NFDI4DS’s success is an active and vibrant community as establishing a common data culture and practice relies on the community’s participation and acceptance. We address this challenge by leveraging the network of NFDI4DS partners to raise awareness for topics around FAIR data and establish international standards. By identifying requirements, we improve our services and develop new strategies for building and finding user communities. | en |
dc.identifier.doi | 10.18420/inf2023_101 | |
dc.identifier.isbn | 978-3-88579-731-9 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43021 | |
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 | NFDI | |
dc.subject | NFDI4DS | |
dc.subject | Community | |
dc.subject | Training | |
dc.subject | Requirements Engineering | |
dc.subject | ELSA | |
dc.title | Community and Training in NFDI4DS | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 908 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 905 | |
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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