Towards the Establishment of Data Science Centers at Higher Education Institutions
| dc.contributor.author | Putzke, Johannes | |
| dc.contributor.author | Schimmer, Thomas | |
| dc.contributor.author | Richter, Manuela | |
| dc.contributor.author | Hamel, Lucas | |
| 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 | Numerous Higher Education Institutions (HEI) are considering the launch of data science centers, partly induced by a call from the German Federal Ministry of Education and Research (BMBF). However, data science centers at HEIs substantially differ from their counterparts in in- dustry. In this brief paper, we highlight some of these differences and identify a challenge in setting up data science centers at HEIs using the case of an initiative at eight universities of applied sciences in Germany. | en |
| dc.identifier.doi | 10.18420/inf2023_10 | |
| dc.identifier.isbn | 978-3-88579-731-9 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43019 | |
| 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 | Data Science | |
| dc.subject | FAIR Data | |
| dc.subject | Research Data Management | |
| dc.subject | RDM | |
| dc.subject | skilled labor shortage | |
| dc.subject | Universities of Applie Sciences | |
| dc.subject | AUS | |
| dc.title | Towards the Establishment of Data Science Centers at Higher Education Institutions | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 121 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 117 | |
| gi.conference.date | 26.-29. September 2023 | |
| gi.conference.location | Berlin | |
| gi.conference.sessiontitle | Bildung - Aktuelle Entwicklungen und Perspektiven (an Hochschulen) im Bereich Data Science |
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