The Big (Data) Bang: Policy, Prospects, and Challenges.
Big data is increasingly the cornerstone on which policy making is based. However, with potential benefits and applications come challenges and dilemmas. In this set of symposium articles, authors examine the promise and problems of big data, exploring associated prospects, risks, parameters, and pa...
| Publicado en: | Review of Policy Research Vol. 31; no. 4; pp. 304 - 311 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Jul2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=97054905&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 97054905 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 1541132X MJJ jtl: Review of Policy Research issn: 1541132X maglogo: Y pubinfo: dt: Jul2014 vid: 31 iid: 4 pid: 480 pub: Wiley-Blackwell artinfo: ui: 97054905 10.1111/ropr.12082 ppf: 304 ppct: 7 formats: fmt: @attributes: type: P size: 132KB tig: atl: The Big (Data) Bang: Policy, Prospects, and Challenges. aug: au: McNeely, Connie L. Hahm, Jong‐on affil: School of Public Policy, George Mason University su: Government policy Political planning Big data Data analytics Data science Digitization sug: subj: Government policy Political planning Big data Data analytics Data science Digitization keyword: big data data analytics data applications data science digitization informatics policy policy making big data data analytics data applications data science digitization informatics policy policy making ab: Big data is increasingly the cornerstone on which policy making is based. However, with potential benefits and applications come challenges and dilemmas. In this set of symposium articles, authors examine the promise and problems of big data, exploring associated prospects, risks, parameters, and payoffs from a variety of perspectives. The articles address myriad challenges in the handling of big data sets, such as collection, validation, integrity, and security; ontological issues attending data analytics and conceptual transformations; the foundations of big data collection for social science research; the gap between the acquisition of data and its use to advance discovery and innovation; the costs and benefits of using big data in decision making and analysis; and, finally, related problems of privacy, security, and ethics. Issues such as these will continue to arise with increased use of big data as fundamental to policy making and governance in today's growing information society. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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