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dc.contributor.authorBuchmann, Erik
dc.contributor.authorAnke, Jürgen
dc.contributor.editorEibl, Maximilian
dc.contributor.editorGaedke, Martin
dc.date.accessioned2017-08-28T23:49:12Z
dc.date.available2017-08-28T23:49:12Z
dc.date.issued2017
dc.identifier.isbn978-3-88579-669-5
dc.identifier.issn1617-5468
dc.description.abstractWorkflow design patterns provide abstract, „best-practices“ solutions to recurring problems. While the majority of workflow patterns focus on control flow, resources and data, our concern are patterns from a data privacy perspective. Privacy patterns have the potential to ease the life of process developers, auditors and privacy officers by providing pre-validated patterns that correspond with existing data privacy regulations. With this paper, we strive to establish workflow privacy patterns as a direction of research. For this purpose, we motivate privacy patterns, we discuss requirements and research directions, and we review options to integrate patterns into existing modeling languages and tools.en
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-275
dc.subjectGDPR
dc.subjectPrivacy Modelling
dc.subjectBusiness Processes
dc.subjectWorkflow Pattern
dc.titlePrivacy Patterns in Business Processesen
mci.reference.pages793-798
mci.conference.sessiontitleZuGPM 2017 – Workshop zum Stand, den Herausforderungen und Impulsen des Geschäftsprozessmanagements
mci.conference.locationChemnitz
mci.conference.date25.-29. September 2017
dc.identifier.doi10.18420/in2017_79


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