Abstract
The Dicode project aimed at facilitating and augmenting collaboration and decision making in data-intensive and cognitively-complex settings. To do so, whenever appropriate, it built on prominent high-performance computing paradigms and proper data processing technologies to meaningfully search, analyze and aggregate data existing in diverse, extremely large, and rapidly evolving sources. At the same time, particular emphasis was given to the deepening of our insights about the proper exploitation of big data, as well as to collaboration and sense making support issues. This chapter reports on the overall context of the project, its scientific and technical objectives, the exploitation of its results and its potential impact.
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References
Eppler, M., Mengis, J.: The concept of information overload: a review of literature from organization science, accounting, marketing, MIS, and related disciplines. Inf Soc 20(5), 325–344 (2004)
IDC. The diverse and exploding digital universe. White Paper. www.idc.com (2008). Accessed March 2008
Economist. A special report on managing information: data, data everywhere. Economist, London (2010)
Hara, N., Solomon, P., Kim, S.L., Sonnenwald, D.H.: An emerging view of scientific collaboration: scientists’ perspectives on collaboration and factors that impact collaboration. J. Am. Soc. Inform. Sci. Technol. 54, 952–965 (2003)
Shim, J.P., Warkentin, M., Courtney, J.F., Power, D.J., Sharda, R., Carlsson, C.: Past, present and future of decision support technology. Decis. Support Syst. 33, 111–126 (2002)
Computing Community Consortium–Computing Research Association. Challenges and opportunities with big data: a community white paper developed by leading researchers across the United States. White Paper. http://www.cra.org/ccc/files/docs/init/bigdatawhitepaper.pdf (2012). Accessed Feb 2012
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Karacapilidis, N. (2014). The Dicode Project. In: Karacapilidis, N. (eds) Mastering Data-Intensive Collaboration and Decision Making. Studies in Big Data, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-02612-1_1
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DOI: https://doi.org/10.1007/978-3-319-02612-1_1
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