GDPR-driven Change Detection In Consent And Activity Metadata

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Conference PaperDate:
2018Access:
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Pandit, H.J., O'Sullivan, D. & Lewis, D., GDPR-driven Change Detection In Consent And Activity Metadata, Managing the Evolution and Preservation of the Data Web – MEPDaW 2018 at 15th International Extended Semantic Web Conference (ESWC 2018), Heraklion (Crete, Greece), 3rd June, 2018, 16 - 20Download Item:

Abstract:
This position paper explores changes concerning the relationship between consent and activities in context of the General Data
Protection Regulation (GDPR). Detecting and recording such changes
with their effects can provide assistance in demonstration and management of compliance. We present an approach for using metadata-driven
change detection and representation towards supporting querying for
GDPR compliance. We use P-Plan (an extension to PROV) for representing provenance of activities and ODRL for representing consent.
We explore the presented approach by means of a use-case.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
Author's Homepage:
http://people.tcd.ie/pandithhttp://people.tcd.ie/delewis
http://people.tcd.ie/osulldps
Other Titles:
Managing the Evolution and Preservation of the Data Web ? MEPDaW 2018 at 15th International Extended Semantic Web Conference (ESWC 2018)Type of material:
Conference PaperCollections:
Availability:
Full text availableKeywords:
GDPR, Data protection, Metadata, Change detection, ComplianceSubject (TCD):
Digital Engagement , Knowledge and data engineeringURN:
nbn:de:0074-2112-6Licences: