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Government Information Policy in the Era of Big Data

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  • Anne L. Washington

Abstract

Reliable public sector information serves as a pivotal source for big data. Government postal codes, for instance, have been crucial for predicting demographics. Confidentiality, however, may be at risk when combined with other sources. Public sector information not only describes government activity but contains material, such as campaign finance filings, produced by outside sources. How does information production impact policy concerns if material is reused for big data projects? Information production is analyzed using a framework of five methods of production. The framework considers information that the public sector writes, publishes, manages, produces through research, and compiles through legal mandates. This paper examines the policy implications of using U.S. federal public sector information in big data projects.

Suggested Citation

  • Anne L. Washington, 2014. "Government Information Policy in the Era of Big Data," Review of Policy Research, Policy Studies Organization, vol. 31(4), pages 319-325, July.
    • Handle: RePEc:bla:revpol:v:31:y:2014:i:4:p:319-325
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    File URL: http://hdl.handle.net/10.1111/ropr.12081
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    Cited by:

    1. MISURACA Gianluca & BARCEVICIUS Egidijus & CODAGNONE Cristiano, 2020. "Exploring Digital Government transformation in the EU – Understanding public sector innovation in a data-driven society," JRC Research Reports JRC121548, Joint Research Centre.
    2. Zatonatska Tetiana & Artyukh Tatiana & Tymchenko Kateryna & Dluhopolskyi Oleksandr, 2022. "Forecasting the Behavior of Target Segments to Activate Advertising Tools: Case of Mobile Operator Vodafone Ukraine," Economics, Sciendo, vol. 10(1), pages 87-104, June.
    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. Zhifang Wang & Yue Jin & Yu Liu & Dong Li & Bo Zhang, 2018. "Comparing Social Media Data and Survey Data in Assessing the Attractiveness of Beijing Olympic Forest Park," Sustainability, MDPI, vol. 10(2), pages 1-18, February.

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