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Encyclopedia of Big Data pp 1–2Cite as

Big Data Literacy

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Over the last decade, the need to understand big data has emerged as an increasingly important area that is making an impact on the least to the most advanced enterprises and societies in the world. Whether it is about analyzing terabytes to petabytes of data or recognizing and revealing or predicting patterns of behavior and interactions, the growth of big data has emphasized the pressing need to develop next generation data scientists who can anticipate user needs and develop “intelligent services” to address business, academic, and government challenges. This would require the engagement of big data proficient students, faculty, and professionals who will help to bridge the big data to knowledge gap in communities and organizations at local, national, and global levels. However, the sheer pervasiveness of big data also makes clear the need for the population in general to have a better understanding of the collection and uses of big data as it affects them directly and indirectly,...

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Further Readings

  • National Academies of Sciences, Engineering, and Medicine. (2018). Data science for undergraduates: Opportunities and options. Washington, DC: National Academies Press.

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  • Newton, E. M., Sweeney, L., & Malin, B. (2005). Preserving privacy by de-identifying face images. IEEE Transactions on Knowledge and Data Engineering, 17(2), 232–243.

    Article  Google Scholar 

  • Sachs, J. D. (2012). From millennium development goals to sustainable development goals. The Lancet, 379(9832), 2206–2211.

    Article  Google Scholar 

  • Xu, H., & Jia, H. (2015). Privacy in a networked world: New challenges and opportunities for privacy research. Journal of the Washington Academy of Sciences, 101(3), 73–84.

    Google Scholar 

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Authors and Affiliations

  1. George Mason University, Fairfax, VA, USA

    Padmanabhan Seshaiyer & Connie L. McNeely

Authors
  1. Padmanabhan Seshaiyer
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  2. Connie L. McNeely
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Corresponding author

Correspondence to Padmanabhan Seshaiyer .

Editor information

Editors and Affiliations

  1. School of Policy, Government and International Affairs, George Mason University, Fairfax, VA, USA

    Laurie A. Schintler

  2. School of Policy, Government and International Affairs, George Mason University, Fairfax, VA, USA

    Connie L. McNeely

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Seshaiyer, P., McNeely, C.L. (2021). Big Data Literacy. In: Schintler, L.A., McNeely, C.L. (eds) Encyclopedia of Big Data. Springer, Cham. https://doi.org/10.1007/978-3-319-32001-4_554-1

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  • DOI: https://doi.org/10.1007/978-3-319-32001-4_554-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32001-4

  • Online ISBN: 978-3-319-32001-4

  • eBook Packages: Springer Reference Business and ManagementReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

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