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Big Data in Public Affairs

2016/09/09 by Ines Mergel, R. Karl Rethemeyer, Kimberley Isett +1 · 240 citations
Engineering · Social Sciences · #Big data #Computer science #Data mining #Data science #E-Government and Public Services #Engineering #Field (mathematics) #Government (linguistics) #Law #Limiting #Political science #Public Policy and Administration Research #Public administration #Public relations #Scale (ratio) #Scholarship #Social Media and Politics #Sociology #The Internet #World Wide Web

paper · open access · doi:10.1111/puar.12625

published in Public Administration Review 76(6), 928-937 (Wiley)

openalex publication_date 2016/09/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Abstract

Abstract This article offers an overview of the conceptual, substantive, and practical issues surrounding “big data” to provide one perspective on how the field of public affairs can successfully cope with the big data revolution. Big data in public affairs refers to a combination of administrative data collected through traditional means and large‐scale data sets created by sensors, computer networks, or individuals as they use the Internet. In public affairs, new opportunities for real‐time insights into behavioral patterns are emerging but are bound by safeguards limiting government reach through the restriction of the collection and analysis of these data. To address both the opportunities and challenges of this emerging phenomenon, the authors first review the evolving canon of big data articles across related fields. Second, they derive a working definition of big data in public affairs. Third, they review the methodological and analytic challenges of using big data in public affairs scholarship and practice. The article concludes with implications for public affairs .

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