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Big Data and U.S. Public Policy

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  • Roger Stough
  • Dennis McBride

Abstract

This paper examines the growing recognition of the phenomenon called “Big Data” and the policy implications it poses. It is argued that a core policy issue is personal and organizational privacy. At the same time there is a belief that analysis of “Big Data” offers potentially to provide public sector policy makers with extensive new information that would inform policy at unprecedentedly detailed levels. Despite this potential to improve the policy-making process data often contain individual identifiable information that would negatively impact American core values such as privacy. This makes the use of these data almost impossible. The paper recognizes that there may be a way to strip individual data from Big Data sets thereby making their analysis more policy useful. This approach is not at this time technically feasible but research is ongoing.

Suggested Citation

  • Roger Stough & Dennis McBride, 2014. "Big Data and U.S. Public Policy," Review of Policy Research, Policy Studies Organization, vol. 31(4), pages 339-342, July.
    • Handle: RePEc:bla:revpol:v:31:y:2014:i:4:p:339-342
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    File URL: http://hdl.handle.net/10.1111/ropr.12083
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    Cited by:

    1. Giacomo Caterini, 2018. "Classifying Firms with Text Mining," DEM Working Papers 2018/09, Department of Economics and Management.
    2. Hui Zhang & Huiying Ding & Jianying Xiao, 2023. "How Organizational Agility Promotes Digital Transformation: An Empirical Study," Sustainability, MDPI, vol. 15(14), pages 1-13, July.
    3. Abuljadail, Mohammad & Khalil, Ashraf & Talwar, Shalini & Kaur, Puneet, 2023. "Big data analytics and e-governance: Actors, opportunities, tensions, and applications," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    4. Jason Miklian & Kristian Hoelscher, 2017. "Smart Cities, Mobile Technologies and Social Cohesion in India," Indian Journal of Human Development, , vol. 11(1), pages 1-16, April.

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