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Risk-Based Approach to Data Protection

Language EnglishEnglish
E-book Adobe ePub DRM
E-book Risk-Based Approach to Data Protection Raphael Gellert
Libristo code: 39608257
Publishers OUP Oxford, October 2020
The concept of a risk-based approach to data protection came to the fore during the overhaul process... Full description
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The concept of a risk-based approach to data protection came to the fore during the overhaul process of the EU's General Data Protection Regulation (GDPR). At its core, it consists of endowing the regulated organizations that process personal data with increased responsibility for complying with data protection mandates. Such increased compliance duties are performed through risk management tools. This book provides a comprehensive analysis of this legal and policydevelopment, which considers a legal, historical, and theoretical perspective. By framing the risk-based approach as a sui generis implementation of a specific regulation model 'known as meta regulation, this book provides a recollection of the policy developments that led to the adoption of the risk-based approach in light of regulation theory and debates. It also discusses a number of salient issues pertaining to the risk-based approach, such as its rationale, scope, and meaning; the role for regulators; and its potential and limits. The book also looks at they way ithas been undertaken in major statutes with a focus on key provisions, such as data protection impact assessments or accountability. Finally, the book devotes considerable attention to the notion of risk. It explains key terms such as risk assessment and management. It discusses in-depth the role of harms in data protection, the meaning of a data protection risk, and the difference between risks and harms. It also critically analyses prevalent data protection risk management methodologies and explains the most important caveats for managing data protection risks.

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About the book

Full name Risk-Based Approach to Data Protection
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2020
Number of pages 304
EAN 9780192574749
Libristo code 39608257
Publishers OUP Oxford
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