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Data Privacy Management (DPM) - A Private Household Smart Metering Use Case

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dc.contributor.authorJakob, Dietmar
dc.contributor.authorWilhelm, Sebastian
dc.contributor.authorGerl, Armin
dc.contributor.editorHansen, Christian
dc.contributor.editorNürnberger, Andreas
dc.contributor.editorPreim, Bernhard
dc.date.accessioned2020-08-18T15:19:50Z
dc.date.available2020-08-18T15:19:50Z
dc.date.issued2020
dc.description.abstractThe automated collection of real life data in private households places special requirements on a Data Privacy Management (DPM) concept. The development and implementation of a DPM concept for use in a scientific environment is demonstrated according to a successful use case – the project BLADL. The intention of this paper is to provide a guideline for ethical and privacy-preserving data collection and management in research projects in the EU.en
dc.identifier.doi10.18420/muc2020-ws119-003
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/33517
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2020 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjectData Privacy Management
dc.subjectPrivacy
dc.subjectGDPR
dc.subjectEthics
dc.subjectData Collection
dc.subjectDataset
dc.subjectScientific Data
dc.subjectProcess Management
dc.subjectSmart Metering
dc.subjectElderly
dc.titleData Privacy Management (DPM) - A Private Household Smart Metering Use Caseen
dc.typeText/Workshop Paper
gi.citation.publisherPlaceBonn
gi.conference.date6.-9. September 2020
gi.conference.locationMagdeburg
gi.conference.sessiontitleMCI-WS04: 6. Usable Security und Privacy Workshop
gi.document.qualitydigidoc

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