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A Data Classification to support Collaboration in an Enterprise Network

dc.contributor.authorAllam, Nabil
dc.contributor.authorMahmoud, Tariq
dc.contributor.editorGómez, Jorge Marx
dc.contributor.editorSonnenschein, Michael
dc.contributor.editorVogel, Ute
dc.contributor.editorWinter, Andreas
dc.contributor.editorRapp, Barbara
dc.contributor.editorGiesen, Nils
dc.date.accessioned2019-09-16T03:12:55Z
dc.date.available2019-09-16T03:12:55Z
dc.date.issued2014
dc.description.abstractTo face contemporary environmental problems, we have to find every possible new way to use the available potentials of saving environmental and natural resources. The collaboration in environmental management networks is one of these ways that opens new alternatives for environmental systems. One of the main constraints to facilitate collaboration in a network is the ability to exchange information and data. However, most enterprises are not willing to give any data to other organizations in the sense that they give away corporate secrets. The purpose of this paper is to discuss how to facilitate the work of enterprise networks by developing a data classification method to solve the problem of data exchange between companies. This developed approach should help enterprises to trust collaborating with other companies, or more specifically methods that initiate interaction and support the development of trustful relationships.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol8514/0795.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25707
dc.publisherBIS-Verlag
dc.relation.ispartofProceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
dc.relation.ispartofseriesEnviroInfo
dc.titleA Data Classification to support Collaboration in an Enterprise Networkde
dc.typeText/Conference Paper
gi.citation.publisherPlaceOldenburg
gi.conference.date2014
gi.conference.locationOldenburg
gi.conference.sessiontitleWorkshop Usability and user oriented process models for EMS

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