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2018 | OriginalPaper | Chapter

4. Barriers to the Implementation of Big Data

Authors : Stephen Jia Wang, Patrick Moriarty

Published in: Big Data for Urban Sustainability

Publisher: 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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Title: Barriers to the Implementation of Big Data
Authors: Stephen Jia Wang
Patrick Moriarty
Publisher: Springer International Publishing
Book: Big Data for Urban Sustainability
Print ISBN: 978-3-319-73608-2

Electronic ISBN: 978-3-319-73610-5

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-73610-5_4

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