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Research on Big Data

Characterizing the Field and Its Dimensions

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Advances in Conceptual Modeling (ER 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9382))

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Big Data has emerged as a significant area of study for both practitioners and researchers. Big Data is a term for massive data sets with large structure. In 2012, Big Data passed the top of the Gartner Hype Cycle, attesting the maturity level of this technology and its applications. The aim of this paper is to examine whether the Big Data research community reached the same level of maturity. For this purpose, we provide a framework identifying existing and emerging research areas of Big Data. This framework is based on five dimensions, including the SMACIT perspective. Current and past research in Big Data are analyzed using a bibliometric study of publications based on more than a decade of related academic publications. The results have shown that even if significant contributions have been made by the research community, attested by a continuous increase in the number of scientific publications that address Big Data, it lags behind entreprises’ expectations.

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    One paper published in 1987 mentions big data in its abstract. However it is not linked to the modern understanding of the concept.

  4. 4.

    187 publications referenced in ScienceDirect contain the term Big Data in their titles.


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Correspondence to Jacky Akoka .

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Akoka, J., Comyn-Wattiau, I., Laoufi, N. (2015). Research on Big Data. In: Jeusfeld, M., Karlapalem, K. (eds) Advances in Conceptual Modeling. ER 2015. Lecture Notes in Computer Science(), vol 9382. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25746-4

  • Online ISBN: 978-3-319-25747-1

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