MARC Close

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  ▼a  1907940
  ▼b  (N$T)

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  ▼a  338.4/700631205957
  ▼2  23

• 100

  ▼a  Sree Kumar,
  ▼e  author.

• 245

  ▼a  The data economy:
  ▼b  implications from Singapore /:
  ▼c  Sree Kumar, Warren B. Chik, See-Kiong Ng and Sin Gee Teo.

• 260

  ▼a  Abingdon, Oxon ;
  ▼a  New York, NY:
  ▼b  Routledge,
  ▼c  2018.

• 300

  ▼a  1 online resource.

• 336

  ▼a  text
  ▼b  txt
  ▼2  rdacontent

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  ▼a  computer
  ▼b  c
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  ▼a  online resource
  ▼b  cr
  ▼2  rdacarrier

• 490

  ▼a  Routledge research in public administration and public policy;
  ▼v  20

• 500

  ▼a  "Routledge focus"--cover.

• 504

  ▼a  Includes bibliographical references and index.

• 505

  ▼a  An outline of the data economy -- The search for data -- The analysis of data -- The legal contours of the data economy -- Redefining the data economy -- Implications for the future.

• 520

  ▼a  "'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 multi-disciplinary team of data scientists, lawyers and economists tasked with studying both the possibilities of exploiting the rich datasets made available from many human-technology interactions, and the practical and legal limitations in trying to do so. It revolves around a core case study of Singapore's public transport system, using data both from the private company operating the contactless payment system (EZ-Link) and the government agency responsible for public transport infrastructure (LTA). In analysing both the possibilities and the limitations of these datasets, the authors propose policy recommendations both in-terms of uses for large datasets and the legislation necessary to enable these uses while protecting the privacy of users"--
  ▼c  Provided by publisher.

• 588

  ▼a  Description based on online resource; title from digital title page (viewed on February 07, 2019).

• 590

  ▼a  Master record variable field(s) change: 050

• 650

  ▼a  Data mining
  ▼x  Economic aspects.

• 650

  ▼a  Big data
  ▼x  Economic aspects.

• 650

  ▼a  Data mining
  ▼x  Economic aspects
  ▼z  Singapore.

• 650

  ▼a  Big data
  ▼x  Economic aspects
  ▼z  Singapore.

• 650

  ▼a  Urban transportation
  ▼z  Singapore
  ▼x  Data processing.

• 650

  ▼a  Urban transportation
  ▼x  Data processing.
  ▼2  fast
  ▼0  (OCoLC)fst01162621

• 650

  ▼a  BUSINESS & ECONOMICS / Industries / General
  ▼2  bisacsh

• 651

  ▼a  Singapore.
  ▼2  fast
  ▼0  (OCoLC)fst01205288

• 655

  ▼a  Electronic books.

• 700

  ▼a  Chik, Warren B.,
  ▼e  author.

• 700

  ▼a  Ng, See-Kiong,
  ▼e  author.

• 700

  ▼a  Teo, Sin Gee,
  ▼e  author.

• 776

  ▼i  Print version:
  ▼a  Sree Kumar.
  ▼t  Data economy.
  ▼d  Abingdon, Oxon ; New York, NY : Routledge, 2018,
  ▼z  9781138359574
  ▼w  (DLC) 2018035412
  ▼w  (OCoLC)1039335613

• 856

  ▼3  EBSCOhost
  ▼u  http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1907940

• 938

  ▼a  Taylor & Francis
  ▼b  TAFR
  ▼n  9780429433658

• 938

  ▼a  EBL - Ebook Library
  ▼b  EBLB
  ▼n  EBL5548866

• 938

  ▼a  YBP Library Services
  ▼b  YANK
  ▼n  15758186

• 938

  ▼a  YBP Library Services
  ▼b  YANK
  ▼n  15744964

• 938

  ▼a  EBSCOhost
  ▼b  EBSC
  ▼n  1907940

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  ▼a  강리원

• 991

  ▼a  eBook

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  ▼a  92
  ▼b  N$T