Open AccessBig Data Applications in Governance and Policy
Author(s) -
Sarah Giest,
Reuben Ng
Publication year - 2018
Publication title -
politics and governance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.746
H-Index - 18
ISSN - 2183-2463
DOI - 10.17645/pag.v6i4.1810
Subject(s) - big data , variety (cybernetics) , corporate governance , data governance , government (linguistics) , process (computing) , politics , political science , data science , thematic map , thematic analysis , public administration , business , computer science , sociology , qualitative research , data mining , data quality , social science , geography , marketing , artificial intelligence , philosophy , linguistics , metric (unit) , operating system , cartography , law , finance
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.
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