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Making Sense of Solid for Data Governance and GDPR

Authors: Pandit, Harshvardhan J.;

Making Sense of Solid for Data Governance and GDPR

Abstract

Solid is a new radical paradigm based on decentralising data from central organisations to individuals, that seeks to empower individuals to have active control of who and how their data is being used. In order to realise this vision, the use-cases and implementations of Solid also require to be consistent with the relevant privacy and data protection regulations such as the GDPR. However, to do so requires prior understanding of all actors, roles, and processes involved in a use-case, which then need to be aligned with GDPR's concepts to identify relevant obligations and only then investigate their compliance. To assist with this process, we apply the existing standardised terminologies and paradigms from ISO/IEC standards to describe the actors and implementations of Solid as `cloud technologies'. We then investigate the applicability of GDPR's requirements to Solid-based implementations, along with an exploration of how existing issues arising from GDPR enforcement also apply to Solid. Finally, we outline the path forward through specific extensions to Solid's specifications that mitigates known issues and enables the realisation of its benefits.

Country
Ireland
Keywords

Computer and Systems Architecture, data protection, Privacy Law, security, Information technology, privacy, T58.5-58.64, 004, Engineering, semantic web, ISO, Computer Engineering, personal data stores, personal information management systems, Law

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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
16
Top 10%
Top 10%
Top 10%
6
8
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gold