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Using Patterns to Manage Governance of Solid Apps

Authors: Esteves, Beatriz; Pandit, Harshvardhan J.;

Using Patterns to Manage Governance of Solid Apps

Abstract

Currently, the Solid Protocol and its specifications lack the necessary vocabulary and processes for ensuring transparency and accountability in the use of data. In particular, to deal with the obligations and requirements required by regulations related to (personal) data protection and privacy. In addition, the lack of a guiding vocabulary leads to no common mechanism through which apps can request data and how Solid maintains information about its use. To address these, we propose PLASMA – a policy language to describe the entities, infrastructure, legal roles, policies, notices, and records to understand and establish responsibilities and accountability within the Solid ecosystem. We present how ontology design patterns using PLASMA can provide a common interface to create structured policies, records, and logs within the diverse Solid use cases, and thereby solve challenges regarding the management and governance of apps and their privacy considerations.

This work was funded partially by the project Knowledge Spaces: Técnicas y herramientas para la gestión de grafos de conocimientos para dar soporte a espacios de datos (Grant PID2020-118274RB-I00, funded by MCIN/AEI/ 10.13039/501100011033). This research has also been supported by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813497 (PROTECT) and by the ADAPT SFI Research Centre funded by Science Foundation Ireland and co- funded under the European Regional Development Fund (ERDF) through Grant#13/RC/2106_P2.

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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).
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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!
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