The Principle of Purpose Limitation in Data Protection Laws

The Principle of Purpose Limitation in Data Protection Laws
Author: Maximilian von Grafenstein
Publisher: Nomos Verlagsgesellschaft
Total Pages: 0
Release: 2018
Genre: Data Protection Law
ISBN: 9783848748976

This thesis examines the principle of purpose limitation in data protection law from the perspective of regulating data-driven innovation. According to this approach, the principle of purpose limitation not only protects an individual's autonomy but simultaneously leaves sufficient room for data controllers to innovate when finding the best solution for protection. The first component of the principle of purpose limitation (i.e. to specify the purpose of data processing) is a precautionary protection instrument which obliges the controller to identify specific risks arising from its processing against all fundamental rights of the data subject. In contrast, the second component (i.e. the requirement to limit data processing to the preceding purpose) aims to control the risk caused by data processing that occurred at a later stage and adds to the risks which were previously identified. This approach provides an answer to the question of how the General Data Protection Regulation which does not only effectively protect an individual's autonomy but also helps controllers to turn their legal compliance into a mechanism that enhances innovation, should be interpreted with regard to all the fundamental rights of the data subject.

Designing for Privacy and its Legal Framework

Designing for Privacy and its Legal Framework
Author: Aurelia Tamò-Larrieux
Publisher: Springer
Total Pages: 287
Release: 2018-11-03
Genre: Law
ISBN: 3319986244

This book discusses the implementation of privacy by design in Europe, a principle that has been codified within the European Data Protection Regulation (GDPR). While privacy by design inspires hope for future privacy-sensitive designs, it also introduces the need for a common understanding of the legal and technical concepts of privacy and data protection. By pursuing an interdisciplinary approach and comparing the problem definitions and objectives of both disciplines, this book bridges the gap between the legal and technical fields in order to enhance the regulatory and academic discourse. The research presented reveals the scope of legal principles and technical tools for privacy protection, and shows that the concept of privacy by design goes beyond the principle of the GDPR. The book presents an analysis of how current regulations delegate the implementation of technical privacy and data protection measures to developers and describes how policy design must evolve in order to implement privacy by design and default principles.

Data Privacy Law

Data Privacy Law
Author: Lee Andrew Bygrave
Publisher: OUP Oxford
Total Pages: 0
Release: 2014-01
Genre: Law
ISBN: 9780199675555

This is the first work to examine the fundamental aims and principles of data privacy law in an international context. Bygrave analyses relevant law from across the globe, paying particular attention to international instruments and using these as a foundation for examining national law.

Data Privacy Law

Data Privacy Law
Author: Paul M. Schwartz
Publisher: MICHIE
Total Pages: 520
Release: 1996
Genre: Data protection
ISBN:

Studies data privacy law in the USA in the light of the principles of the EC Directive on the Protection of Individuals with Regard to the Processing of Personal Data and on the Free Movement of Such Data (1995).

Data Privacy

Data Privacy
Author: Nataraj Venkataramanan
Publisher: CRC Press
Total Pages: 206
Release: 2016-10-03
Genre: Computers
ISBN: 1315353768

The book covers data privacy in depth with respect to data mining, test data management, synthetic data generation etc. It formalizes principles of data privacy that are essential for good anonymization design based on the data format and discipline. The principles outline best practices and reflect on the conflicting relationship between privacy and utility. From a practice standpoint, it provides practitioners and researchers with a definitive guide to approach anonymization of various data formats, including multidimensional, longitudinal, time-series, transaction, and graph data. In addition to helping CIOs protect confidential data, it also offers a guideline as to how this can be implemented for a wide range of data at the enterprise level.