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  • Operationalizing Expectations and Mapping Challenges of Information Privacy and Data Protection Measures: A Machine-generated Literature Overview

    Operationalizing Expectations and Mapping Challenges of Information Privacy and Data Protection Measures by Gupta, Indranath;

    A Machine-generated Literature Overview

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      • Publisher's listprice EUR 149.79
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        62 125 Ft (59 167 Ft + 5% VAT)
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    62 125 Ft

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    Product details:

    • Edition number 2024
    • Publisher Springer Nature Singapore
    • Date of Publication 1 March 2026
    • Number of Volumes 1 pieces, Book

    • ISBN 9789819973705
    • Binding Hardback
    • No. of pages200 pages
    • Size 235x155 mm
    • Language English
    • Illustrations Approx. 200 p.
    • 700

    Categories

    Long description:

    This book offers a machine-generated literature overview of the legal and ethical considerations, in the context of technological growth, over implementing privacy and data protection measures in the last three decades. It showcases the expectations and challenges in mapping and operationalizing the information privacy and data protection measures. It is the second of a two-volume exploration of the narrative, wherein both volumes have consciously tried to remain both jurisdictional and technology neutral while considering a range of data protection and privacy issues. Towards that end, this volume addresses these issues at a conceptual level while dealing with the question of implementing data protection expectations in different environments. It, however, looks at the operational question of implementing the expectations, positioning itself in a context of ‘conflict’ and ‘uneasiness’ that often is assigned to the question of technology and privacy. Therefore, the volume starts with chapters on these conflicts and contradictions before moving on to articles that effectively implement data protection principles in a tech environment. The following chapter gives us a sense of how privacy and data protection issues are no longer obscure incidents and have become a part of our everyday living. The next chapter provides a snapshot of examples where technical advancements offer effective and practical solutions in implementing data protection measures to protect the privacy of individuals. However, the chapter also portrays the extent of risks that such implementation may have on individuals. At the end, the final chapter captures how often privacy and data protection questions come between technical growth and advancement.

    The first volume, titled ‘Expectations vs Realities of Information Privacy and Data Protection Measures,’ captures overarching issues about data protection and privacy; conceptualizes data protection from different perspectives and its existing debates with other rights and developments in a democratic society; provides a snapshot of developments happening in various jurisdictions and how data protection framework engages with other laws. It also broaches the critical issue of consent and how consent as a requirement has evolved and integrated with health research and other allied areas. The effective interventions by the human expert in both volumes add immense value to the machine-generated content and highlight future trends of research. The volumes are an invaluable resource for not only researchers, but also policy makers, practitioners, corporate sector, across disciplines, and anyone looking to get an idea about the evolution of privacy, data protection issues and how these issues stand with technological growth in the last three decades since 1990.

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    Table of Contents:

    Chapter 1 Technology and Privacy: The conflicts and contradictions.- Chapter 2 General Data Protection Principles and its implementation in a tech-environment.- Chapter 3 Bringing Privacy and data protection issues closer to home.- Chapter 4 Finding Technical Solutions to Safeguard Privacy of Individuals.- Chapter 5 Risks, threats and way-outs to protecting privacy in tech-environment.- Chapter 6 Technical growth vis-à-vis privacy and data protection issues.

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