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Research Data Management in Computer Science - NFDIxCS Approach

dc.contributor.authorGoedicke,Michael
dc.contributor.authorLucke,Ulrike
dc.contributor.editorDemmler, Daniel
dc.contributor.editorKrupka, Daniel
dc.contributor.editorFederrath, Hannes
dc.date.accessioned2022-09-28T17:09:58Z
dc.date.available2022-09-28T17:09:58Z
dc.date.issued2022
dc.description.abstractThis contribution discusses the challenges and architectural considerations for Research Data Management in computer science and related infrastructure for implementing the so-called FAIR principles. The main challenge is, to cover the research data management requirements of the various sub disciplines of computer science. This diversity must be managed in a uniform way which entails a common structure for this task. We outline these requirements briefly and discuss then the concept of the so-called research data management container (RDMC) which encapsulates a given research data set in conjunction with all accompanying information and support (software, execution environment etc) in order to provide a portable unit for management, distribution and access control.en
dc.identifier.doi10.18420/inf2022_112
dc.identifier.isbn978-3-88579-720-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39466
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-326
dc.subjectResearch Data Management
dc.subjectFAIR Principles
dc.subjectNationale Forschungsdaten Infrastruktur
dc.titleResearch Data Management in Computer Science - NFDIxCS Approachen
gi.citation.endPage1328
gi.citation.startPage1317
gi.conference.date26.-30. September 2022
gi.conference.locationHamburg
gi.conference.sessiontitleHochschule 2032

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