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Big data for policymaking: fad or fasttrack?

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  • Sarah Giest

    (Leiden University)

Abstract

The buzz surrounding big data has taken shape in various theoretical and practical forms when it comes to policymaking. The paper combines current research streams with long-standing discussions on government and technology in public policy and public administration, such as e-government and evidence-based policymaking. The goal is to answer the question whether big data is a fleeting trend or has long-lasting effects on policymaking. Three larger themes in the literature are identified: First, the role that institutional capacity has within government to utilize big data analytics; second, government use of big data analytics in the context of digital public services; and finally, the way that big data information enters the policy cycle, focusing on substantive and procedural policy instruments. Examples from the education, crisis management, environmental and healthcare domain highlight the opportunities and challenges for each of these themes. Exploring the various aspects of big data and policymaking shows that big data is here to stay, but that its utilization by government will take time due to institutional barriers and capacity bottlenecks.

Suggested Citation

  • Sarah Giest, 2017. "Big data for policymaking: fad or fasttrack?," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(3), pages 367-382, September.
  • Handle: RePEc:kap:policy:v:50:y:2017:i:3:d:10.1007_s11077-017-9293-1
    DOI: 10.1007/s11077-017-9293-1
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    References listed on IDEAS

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    1. Sarah Giest, 2017. "Big data analytics for mitigating carbon emissions in smart cities: opportunities and challenges," European Planning Studies, Taylor & Francis Journals, vol. 25(6), pages 941-957, June.
    2. Ann-Charlotte Nedlund & Peter Garpenby, 2014. "Puzzling about problems: the ambiguous search for an evidence-based strategy for handling influx of health technology," Policy Sciences, Springer;Society of Policy Sciences, vol. 47(4), pages 367-386, December.
    3. Anna Wesselink & Hal Colebatch & Warren Pearce, 2014. "Evidence and policy: discourses, meanings and practices," Policy Sciences, Springer;Society of Policy Sciences, vol. 47(4), pages 339-344, December.
    4. Beierle, Thomas C., 2003. "Discussing the Rules: Electronic Rulemaking and Democratic Deliberation," Discussion Papers 10681, Resources for the Future.
    5. Holmstrom, Bengt & Milgrom, Paul, 1991. "Multitask Principal-Agent Analyses: Incentive Contracts, Asset Ownership, and Job Design," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 7(0), pages 24-52, Special I.
    6. Marijn Janssen & David Konopnicki & Jane L. Snowdon & Adegboyega Ojo, 2017. "Driving public sector innovation using big and open linked data (BOLD)," Information Systems Frontiers, Springer, vol. 19(2), pages 189-195, April.
    7. Beierle, Thomas, 2003. "Discussing the Rules: Electronic Rulemaking and Democratic Deliberation," RFF Working Paper Series dp-03-22, Resources for the Future.
    8. Marijn Janssen & David Konopnicki & Jane L. Snowdon & Adegboyega Ojo, 0. "Driving public sector innovation using big and open linked data (BOLD)," Information Systems Frontiers, Springer, vol. 0, pages 1-7.
    9. Angela M. Evans & Adriana Campos, 2013. "Open Government Initiatives: Challenges of Citizen Participation," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(1), pages 172-185, January.
    10. Bram Klievink & Bart-Jan Romijn & Scott Cunningham & Hans Bruijn, 0. "Big data in the public sector: Uncertainties and readiness," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
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