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The Data Economy

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The Data Economy Synopsis

"The data economy" is a term used by many, but properly understood by few. Even more so the concept of "big data". Both terms embody the notion of a digital world in which many transactions and data flows animate a virtual space. This is the unseen world in which technology has become the master, with the hand of the human less visible. In fact, however, it is human interaction in and around technology that makes data so pervasive and important - the ability of the human mind to extract, manipulate and shape data that gives meaning to it.

This book outlines the findings and conclusions of a multidisciplinary team of data scientists, lawyers, and economists tasked with studying both the possibilities of exploiting the rich data sets made available from many human-technology interactions and the practical and legal limitations of trying to do so. It revolves around a core case study of Singapore's public transport system, using data from both the private company operating the contactless payment system (EZ-Link) and the government agency responsible for public transport infrastructure (Land Transport Authority). In analysing both the possibilities and the limitations of these data sets, the authors propose policy recommendations in terms of both the uses of large data sets and the legislation necessary to enable these uses while protecting the privacy of users.

About This Edition

ISBN: 9781138359574
Publication date: 9th October 2018
Author: Sree Kumar, Warren B Chik, SeeKiong Ng, Sin Gee Teo
Publisher: Routledge an imprint of Taylor & Francis
Format: Hardback
Pagination: 136 pages
Series: Routledge Research in Public Administration and Public Policy
Genres: Political structure and processes
Research and development management
Data protection law
Intellectual property law
Digital and information technologies: social and ethical aspects
Digital and information technologies: Legal aspects
Data mining
Privacy and data protection
Systems of law
International economics
Political economy
Computer science