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An Interdisciplinary Perspective on Managing Process Model Simulation Data

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dc.contributor.authorSchreiber, Clemens
dc.contributor.authorSchiefer, Gunther
dc.contributor.authorOberweis, Andreas
dc.contributor.editorGiese, Holger
dc.contributor.editorRosenthal
dc.contributor.editorKristina
dc.date.accessioned2024-03-12T05:30:24Z
dc.date.available2024-03-12T05:30:24Z
dc.date.issued2024
dc.description.abstractManaging process model simulation data in a findable, accessible, interoperable, and reusable way faces several challenges. We discuss three main challenges of simulation data documen- tation, which we encountered in an interdisciplinary research project on research data management. These challenges refer to (1) the definition of a discipline-specific metadata model, (2) the development of user support to ensure metadata quality and (3) the interlinking of the simulation data across research areas. Based on the identified challenges and the reported insights gained from the research project, we provide novel ideas for the development of process model simulation tools, enabling a better documentation of simulation data in the future.en
dc.identifier.doi10.18420/modellierung2024-ws-011
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43761
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2024 Satellite Events
dc.subjectResearch Data Management
dc.subjectProcess Model Simulation
dc.titleAn Interdisciplinary Perspective on Managing Process Model Simulation Dataen
dc.typeText/Workshop Paper
gi.conference.date12. - 15. März
gi.conference.locationPotsdam
gi.conference.sessiontitleRDiMOD

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