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A Common Semantic Model of the GDPR Register of Processing Activities

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Preprint , Conference object , Other literature type 01 Dec 2020Embargo end date: 01 Jan 2021 Ireland Publisher:IOS PressPublicly fundedFunded by:SFI | ADAPT: Centre for Digital...
Authors: Paul Ryan; Harshvardhan J. Pandit; Rob Brennan;

doi: 10.3233/faia200876 , 10.48550/arxiv.2102.00980

arXiv: 2102.00980

A Common Semantic Model of the GDPR Register of Processing Activities

Abstract

The creation and maintenance of a Register of Processing Activities (ROPA) is an essential process for the demonstration of GDPR compliance. We analyse ROPA templates from six EU Data Protection Regulators and show that template scope and granularity vary widely between jurisdictions. We then propose a flexible, consolidated data model for consistent processing of ROPAs (CSM-ROPA). We analyse the extent that the Data Privacy Vocabulary (DPV) can be used to express CSM-ROPA. We find that it does not directly address modelling ROPAs, and so needs additional concept definitions. We provide a mapping of our CSM-ROPA to an extension of the Data Privacy Vocabulary.

Country
Ireland
Related Organizations
Keywords

World Wide Web, FOS: Computer and information sciences, Computer Science - Cryptography and Security, Regulatory Compliance, GDPR, Cryptography and Security (cs.CR), Semantic Web

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
6
Top 10%
Average
Top 10%
10
9
Green
hybrid