Big Data: A framework for research

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Big Data: A framework for research

Nagle, Tadhg; Sammon, David
Date: 2014-06
Copyright: © 2014 The authors and IOS Press. All rights reserved. This is the author’s manuscript version. The final publication is available at IOS Press through http://dx.doi.org/10.3233/978-1-61499-399-5-395
Related: http://ebooks.iospress.nl/volume/dss-2-0-supporting-decision-making-with-new-technologies
Citation: Nagle, T., and Sammon, D. (2014) 'Big Data: A Framework For Research' In: DSS 2.0 - Supporting Decision Making with New Technologies, Series: Frontiers in Artificial Intelligence and Applications, Vol. 261, Proceedings IFIP TC8/Working Group 8.3 conference, Paris, France, June 2014, IOS Press, pp 395-400.
Published Version: 10.3233/978-1-61499-399-5-395

Abstract:

Big Data is not the first and most definitely not the last new term that the IT industry is going to coin in order to drive interest and investment in new technology. Moreover, with these new terms, an opportunity is afforded for the research community to objectively understand the impact (or lack thereof) on organizations and decision makers. This paper provides a high-level framework to guide researchers in the area of Big Data through a conceptualization of the Information Supply Chain. The Information Supply Chain can be used as a scoping device for researchers in positioning their work but also as a tool to enable stronger objectivity and prevent an automatic resistance or acceptance of the new term/trend.

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