IDEAS home Printed from https://ideas.repec.org/a/bla/revpol/v31y2014i4p339-342.html
   My bibliography  Save this article

Big Data and U.S. Public Policy

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/ropr.12083
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Giacomo Caterini, 2018. "Classifying Firms with Text Mining," DEM Working Papers 2018/09, Department of Economics and Management.
    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:revpol:v:31:y:2014:i:4:p:339-342. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/ipsonea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.