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Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead

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Advances in Intelligent Data Analysis XII (IDA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8207))

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Abstract

Big data and open data promise tremendous advances. But the media hype ignores the difficulties and the risks associated with this promise. Beginning with the observation that people want answers to questions, not simply data, I explore some of the difficulties and risks which lie in the path of realising the opportunities.

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Author information

Authors and Affiliations

  1. Imperial College, London, UK

    David J. Hand

  2. Winton Capital Management, UK

    David J. Hand

Authors
  1. David J. Hand
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Editor information

Editors and Affiliations

  1. School of Information Systems, Computing and Mathematics, Brunel University, UB8 3PH, Uxbridge, Middlesex, UK

    Allan Tucker  & Stephen Swift  & 

  2. Faculty of Computer Science/IT, Ostfalia University of Applied Sciences, Am Exer 2, 38302, Wolfenbüttel, Germany

    Frank Höppner

  3. Faculty of Science, Department of Information and Computing Science, Buys Ballot Laboratory, Universiteit Utrecht, Princetonplein 5, 3584 CC, Utrecht, The Netherlands

    Arno Siebes

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Hand, D.J. (2013). Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead. In: Tucker, A., Höppner, F., Siebes, A., Swift, S. (eds) Advances in Intelligent Data Analysis XII. IDA 2013. Lecture Notes in Computer Science, vol 8207. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41398-8_1

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  • DOI: https://doi.org/10.1007/978-3-642-41398-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41397-1

  • Online ISBN: 978-3-642-41398-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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