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Privacy, Big Data, and the Public Good: Frameworks For Engagement Paperback – 16 Jun 2014

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4.5 out of 5 stars 2 reviews from Amazon.com

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"Big data' - the collection, aggregation or federation, and analysis of vast amounts of increasingly granular data - present[s] serious challenges not only to personal privacy but also to the tools we use to protect it. Privacy, Big Data, and the Public Good focuses valuable attention on two of these tools: notice and consent, and de-identification - the process of preventing a person's identity from being linked to specific data. [It] presents a collection of essays from a variety of perspectives, in chapters by some of the heavy hitters in the privacy debate, who make a convincing case that the current framework for dealing with consumer privacy does not adequately address issues posed by big data … As society becomes more 'datafied' - a term coined to describe the digital quantification of our existence - our privacy is ever more at risk, especially if we continue to rely on the tools that we employ today to protect it. [This book] represents a useful and approachable introduction to these important issues.' Science

Book Description

The book discusses access to big data for city, state, and federal government agencies and legal, social science, statistical, and technical communities interested in enabling research on big data. The authors' goal is to move the conversation to a vision of what frameworks should and could guide data access.

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Amazon.com: 4.5 out of 5 stars 2 reviews
2 of 4 people found the following review helpful
4.0 out of 5 stars Four Stars 8 Aug. 2014
By jpk - Published on Amazon.com
Format: Paperback Verified Purchase
solid write-up from well known authors in this area.
3 of 5 people found the following review helpful
5.0 out of 5 stars Highly recommended! 21 July 2014
By Joel Natividad - Published on Amazon.com
Format: Paperback
A must-read for anybody interested in "Privacy, Big Data and the Public Good." It also stays true to its subtitle by expertly navigating the Conceptual, Practical and Statistical frameworks - the Why, What, and How of how to collect, generate, share and analyze data responsibly in our networked society.

Its multidisciplinary, all-star cast of contributors give a comprehensive overview of the Big Data Elephant from the perspectives of policy, sociology, statistics and computer science, while keeping the book accessible to the Big Data practitioner.
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