Big Data and Public Sector Information

Online International Forum on Postal Big Data January 2014 USPSOIG

GMU School of Public Policy Research Paper No. 2014-04

5 Pages Posted: 28 Jan 2014 Last revised: 13 Jul 2014

Date Written: January 27, 2014

Abstract

Public sector organizations, as reliable information publishers, are often unacknowledged but pivotal sources for big data projects using analytics. Big data analytics make sense of diverse unstructured digital collections by transforming them into intelligible patterns and predictions. Big data trends are validated against authoritative sources such as public sector information. Governments need to be aware that their standards, such as zip codes, have a secondary use in big data projects. Data mining and predictive analytics both challenge and enhance our notions of community, accountability, consumers, authorship, markets, firms, nationality, ownership, responsibility, and democracy. Public-sector big data provides unprecedented opportunity to study both organizational strategy and the public response to large-scale information analytics. The January 28th 2014 Online International Forum on Postal Big Data hosted by the USPS Office of Inspector General and the Universal Postal Union (UPU) will provide a starting point for considering this growing research agenda.

Keywords: big data, postal services

Suggested Citation

Washington, Anne, Big Data and Public Sector Information (January 27, 2014). Online International Forum on Postal Big Data January 2014 USPSOIG, GMU School of Public Policy Research Paper No. 2014-04, Available at SSRN: https://ssrn.com/abstract=2386150 or http://dx.doi.org/10.2139/ssrn.2386150

Anne Washington (Contact Author)

NYU Steinhardt ( email )

New York University
Steinhardt School
New York, NY 10003-711
United States

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