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NFDI4DS at a Glance

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dc.contributor.authorSchimmler, Sonja
dc.contributor.authorHennig, Christine
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:17Z
dc.date.available2023-11-29T14:50:17Z
dc.date.issued2023
dc.description.abstractThe consortium NFDI4DS supports researchers along all stages of the research data lifecycle to conduct their research in line with the FAIR principles. By conducting interviews and surveys, NFDI4DS continuously identifies the needs and challenges of researchers from various disciplines regarding data science and artificial intelligence, keeping ethical, legal, and social aspects in mind. Those identified needs and challenges are continuously addressed by picking up existing services, developing new ones and integrating them into the NFDI4DS infrastructure. By systematically adding digital objects (articles, data, machine learning models, workflows, scripts/code, etc.) to the NFDI4DS research knowledge graph within the infrastructure, transparency, reproducibility, and fairness are steadily improved. The process is continuously accompanied by providing resources such as educational videos and organizing events such as community challenges. In this short paper, we give an overview of NFDI4DS, and provide details about our approach to address the current challenges. We will report on how we plan to utilize FAIR digital objects (FDOs) and Research Knowledge Graphs (RKGs) as a basis for the infrastructure envisioned. We will also give an overview of the services planned, and how they are meant to interact.en
dc.identifier.doi10.18420/inf2023_100
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43020
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.subjectData Science
dc.subjectArtificial Intelligence
dc.subjectResearch Data Infrastructures
dc.titleNFDI4DS at a Glanceen
dc.typeText/Conference Paper
gi.citation.endPage903
gi.citation.publisherPlaceBonn
gi.citation.startPage901
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleÖffentliche Infrastruktur - Research Data Infrastructures for Data Science and AI (RDI4DataScience)

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P337 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten