000 03996nam a2200661Ii 4500
001 9780429433658
003 FlBoTFG
005 20240213122829.0
006 m o d
007 cr
008 181112t20182019fluab ob 001 0 eng d
020 _a9780429433658
_q(e-book : PDF)
035 _a(OCoLC)1056109699
040 _aFlBoTFG
_cFlBoTFG
_erda
041 1 _aeng
050 4 _aHB143.5
072 7 _aSOC
_x008000
_2bisacsh
072 7 _aJPH
_2bicscc
082 0 4 _a 338.4/700631205957
100 1 _aKumar, Sree,
_eauthor.
245 1 4 _aThe Data Economy :
_bImplications from Singapore /
_cby Sree Kumar, Warren B. Chik, See-Kiong Ng and Sin Gee Teo.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bRoutledge,
_c[2018].
264 4 _c©2019.
300 _a1 online resource (126 pages) :
_b18 illustrations, text file, PDF.
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
490 1 _aRoutledge Research in Public Administration and Public Policy
504 _aIncludes bibliographical references and index.
505 0 0 _tForeword --
_tAcknowledgement --
_t1.Introduction --
_t2.An Outline of the Data Economy --
_t3.The Search for Data --
_t4.The Analysis of Data --
_t5.The Legal Contours of the Data Economy --
_t6.Redefining the Data Economy --
_t7.Implications for the Future --
_tSelected Bibliography --
_tIndex
520 3 _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 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 limitationsof 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 usesof large data sets and the legislation necessary to enable these uses while protecting the privacy of users.
530 _aAlso available in print format.
650 0 _aData mining
_xEconomic aspects.
650 0 _aBig data
_xEconomic aspects.
650 0 _aData mining
_xEconomic aspects
_zSingapore.
650 0 _aBig data
_xEconomic aspects
_zSingapore.
650 0 _aUrban transportation
_zSingapore
_xData processing.
650 0 _aUrban transportation
_xData processing.
650 7 _aBig data.
_2bisacsh
650 7 _acyber crime.
_2bisacsh
650 7 _adata anonymisation.
_2bisacsh
650 7 _adata economy.
_2bisacsh
650 7 _adata regulation.
_2bisacsh
650 7 _aNFC payment.
_2bisacsh
650 7 _aprivacy.
_2bisacsh
650 7 _apublic transport.
_2bisacsh
650 7 _asingapore.
_2bisacsh
650 7 _asmart cities.
_2bisacsh
655 0 _aElectronic books.
700 1 _aChik, Warren B.,
_eauthor.
700 1 _aNg, See-Kiong,
_eauthor.
700 1 _aTeo, Sin Gee,
_eauthor.
710 2 _aTaylor and Francis.
776 0 8 _iPrint version:
_z9781138359574
830 0 _aRoutledge Research in Public Administration and Public Policy.
856 4 0 _uhttps://www.taylorfrancis.com/books/9780429433658
_zClick here to view.
999 _c5578
_d5578