Logo des Repositoriums
 

NFDI4DS Transfer and Application

dc.contributor.authorBorisova, Ekaterina
dc.contributor.authorAbu Ahmad, Raia
dc.contributor.authorRehm, Georg
dc.contributor.authorUsbeck, Ricardo
dc.contributor.authorD’Souza, Jennifer
dc.contributor.authorStocker, Markus
dc.contributor.authorAuer, Sören
dc.contributor.authorGilsbach, Judith
dc.contributor.authorWolschewski, Anastasia
dc.contributor.authorKeller, Johannes
dc.contributor.authorSchneider, Daniel
dc.contributor.authorNeumuth, Thomas
dc.contributor.authorSchimmler, Sonja
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:18Z
dc.date.available2023-11-29T14:50:18Z
dc.date.issued2023
dc.description.abstractDue to the ever increasing importance of Data Science and Artificial Intelligence methods for a wide range of scientific disciplines, ensuring transparency and reproducibility of DS and AI methods and research findings have become essential. The NFDI4DS project promotes the findability, accessibility, interoperability, and reusability in DS and AI by developing an open integrated research data infrastructure in which all artefacts (e. g., papers, code, models, datasets) will be interlinked in a FAIR and transparent way. One of the key aspects is to build a bridge between NFDI4DS and other research communities which actively apply DS and AI methods. This paper describes the main actions taken to engage with the relevant (sub)communities.en
dc.identifier.doi10.18420/inf2023_104
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43024
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectNFDI
dc.subjectNFDI4DS
dc.subjectResearch Data Infrastructures
dc.subjectData Science
dc.subjectArtificial Intelligence
dc.titleNFDI4DS Transfer and Applicationen
dc.typeText/Conference Paper
gi.citation.endPage929
gi.citation.publisherPlaceBonn
gi.citation.startPage925
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleÖffentliche Infrastruktur - Research Data Infrastructures for Data Science and AI (RDI4DataScience)

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
NFDI4DS_Transfer_and_Application.pdf
Größe:
140.35 KB
Format:
Adobe Portable Document Format