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Designing a Data Sharing Tool Kit - Showing companies how to start using Data Sharing

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dc.contributor.authorJussen,Ilka
dc.contributor.authorSchweihoff,Julia Christina
dc.contributor.authorStachon,Maleen
dc.contributor.authorMöller,Frederik
dc.contributor.editorDemmler, Daniel
dc.contributor.editorKrupka, Daniel
dc.contributor.editorFederrath, Hannes
dc.date.accessioned2022-09-28T17:10:24Z
dc.date.available2022-09-28T17:10:24Z
dc.date.issued2022
dc.description.abstractSharing data is essential to the success of modern data-driven business models. They play a crucial role for companies in creating new and better services and optimizing existing processes. While the interest in data sharing is growing, companies face an array of challenges preventing them from fully exploiting data sharing opportunities. Mitigating these risks and weighing them against their potential is a creative, interdisciplinary task in each company. The paper starts precisely at this point and proposes a Tool Kit with three Visual Inquiry Tool (VIT) to work on finding data sharing potential conjointly. We do this using a design-oriented research approach and contribute to research and practice by providing three VITs that help different stakeholders or companies in an ecosystem to visualize and design their data-sharing activities.en
dc.identifier.doi10.18420/inf2022_33
dc.identifier.isbn978-3-88579-720-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39532
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-326
dc.subjectData Sharing
dc.subjectVisual Inquiry Tools
dc.subjectCanvas Development
dc.subjectDesign Science Research
dc.titleDesigning a Data Sharing Tool Kit - Showing companies how to start using Data Sharingen
gi.citation.endPage391
gi.citation.startPage379
gi.conference.date26.-30. September 2022
gi.conference.locationHamburg
gi.conference.sessiontitleNachhaltige Wertschöpfungssysteme (NaWerSys) II

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P326 - INFORMATIK 2022 - Informatik in den Naturwissenschaften