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2018 | OriginalPaper | Buchkapitel

4. Barriers to the Implementation of Big Data

verfasst von : Stephen Jia Wang, Patrick Moriarty

Erschienen in: Big Data for Urban Sustainability

Verlag: Springer International Publishing

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Abstract

This chapter sounds a cautionary note about big data applications. In general terms, it discusses, in turn, the potential serious challenges to its use, including privacy, data security, reliability, cost, technical challenges, and potential barriers to its acceptance, which will need to be overcome. The barriers to acceptance and use vary greatly from one application to another, being close to zero for some applications (for example, urban weather forecasting), to possibly serious for more sensitive applications that involve even anonymised personal data. We conclude that big data is not a panacea for all urban problems—some important areas of urban sustainability are probably best tackled by traditional small data approaches or a judicious use of both big and small data. The barriers for some applications, particularly those based on personal data, will for some time be greater in the cities of many industrialising countries than in OECD cities.

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Metadaten
Titel
Barriers to the Implementation of Big Data
verfasst von
Stephen Jia Wang
Patrick Moriarty
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-73610-5_4