Big Data Applications in Governance and Policy

Open Access Journal | ISSN: 2183-2463

Editorial | Open Access

Big Data Applications in Governance and Policy

  • Sarah Giest Institute of Public Administration, Leiden University, The Netherlands
  • Reuben Ng Lee Kuan Yew School of Public Policy, National University of Singapore, Singapore

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Abstract:  The editorial sets the scene for this thematic issue on big data applications in governance and policy. It highlights the lack of engagement in the current literature with the application of big data at the cross-section of governance of data and its utilization in the policy process and draws out aspects related to its definition and future research agenda. The contributions highlight several aspects related to big data in different contexts, such as local and national government as well as a variety of policy areas. They converge on the idea that big data applications cannot overcome existing political and structural limitations that exist in government. This leads to a future research agenda that looks at the disconnect between data production and usage as well as identifying policy issues that are more or less suitable for data analytics.

Keywords:  big data; governance; policy analytics; policymaking; politics



© Sarah Giest, Reuben Ng. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 license (, which permits any use, distribution, and reproduction of the work without further permission provided the original author(s) and source are credited.