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dc.contributor.authorGoedicke, Michael
dc.contributor.authorLucke, Ulrike
dc.contributor.editorMichael, Judith
dc.contributor.editorPfeiffer
dc.contributor.editorJérôme
dc.contributor.editorWortmann, Andreas
dc.date.accessioned2022-06-30T13:01:02Z
dc.date.available2022-06-30T13:01:02Z
dc.date.issued2022
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/38785
dc.description.abstractThe demand increases to substantiate the claims made in the scientific processes in the realm of modeling in all areas of computer science. Thus, publications, funding proposals etc. require more often that empirical data (if available) along with the related context of experiments and the artifacts in terms of descriptions, software and other tools will be part of the publication or proposed project as well. Infrastructure will be provided to store and make available this kind of research data according to the FAIR – principles (Findable, Accessible, Interoperable, Reusable) as part of the National Research Data Infrastructure. Within this workshop, the consortium NFIDxCS collected requirements as well as existing approaches to build such an infrastructure with a special focus on modeling issues.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2022 Satellite Events
dc.subjectResearch Data Management
dc.subjectModelling in Computer Science
dc.subjectFAIR Principles
dc.subjectNationale Forschungsdaten Infrastruktur
dc.titleRDM4MOD: Working Workshop on Research Data Management in Modelling in Computer Scienceen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages172-173
mci.conference.sessiontitleRDM4MOD - Research Data Management in Modeling
mci.conference.locationHamburg
mci.conference.date27.6. - 1.7.2022
dc.identifier.doi10.18420/modellierung2022ws-022


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