Compliance through Informed Consent: Semantic Based Consent Permission and Data Management Model Article Swipe
Kaniz Fatema
,
Ensar Hadziselimovic
,
Harshvardhan J. Pandit
,
Christophe Debruyne
,
David Lewis
,
Declan O’Sullivan
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.3246470
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.3246470
The General Data Protection Regulations (GDPR) imposes greater restrictions on obtaining valid user consents involving the use of personal data. A semantic model of consent can make the concepts of consent explicit, establish a common understanding and enable re-use of consent. Therefore,forming a semantic model of consent will satisfy the GDPR requirements of specificity and unambiguity and is an important step towards ensuring compliance. In this paper,we discuss obtaining an open vocabulary of expressing consent leveraging existing semantic models of provenance, processes, permission and obligations. We also present a reference architecture for the management of data processing according to consent permission. This data management model utilizes the open vocabulary of consent and incorporates the change of context into the data processing activity. By identifying and incorporating changes to the relational context between data controllers and data subjects into the data processing model, it aims to improve the integration of data management across different information systems specifically adhering to the GDPR and helping controllers to demonstrate compliance.
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Metadata
- Type
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- Language
- en
- Landing Page
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- OA Status
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- Cited By
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2767498761Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.3246470Digital Object Identifier
- Title
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Compliance through Informed Consent: Semantic Based Consent Permission and Data Management ModelWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-10-08Full publication date if available
- Authors
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Kaniz Fatema, Ensar Hadziselimovic, Harshvardhan J. Pandit, Christophe Debruyne, David Lewis, Declan O’SullivanList of authors in order
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https://orbi.uliege.be/handle/2268/263699Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://doi.org/10.5281/zenodo.3246471Direct OA link when available
- Concepts
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Permission, Compliance (psychology), Informed consent, Psychology, Medicine, Social psychology, Law, Alternative medicine, Political science, PathologyTop concepts (fields/topics) attached by OpenAlex
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30Total citation count in OpenAlex
- Citations by year (recent)
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2023: 3, 2022: 4, 2021: 4, 2020: 5, 2019: 8Per-year citation counts (last 5 years)
- References (count)
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15Number of works referenced by this work
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20Other works algorithmically related by OpenAlex
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