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Data Management in the Era of Digitalization

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Conceptual Modeling (ER 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11788))

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Abstract

In an increasingly digital world, the modeling and management of data is more important than ever as we move from the traditional management of data through the era of big data and now to an era of digitalization. Many of the traditional data challenges remain, which can be presented and understood in terms of data semantics, structure, syntax, and situation. Implications are provided for continued work on these well-known challenges with respect to an emerging technology.

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Acknowledgements

This research was supported by the J. Mack Robinson College of Business, Georgia State University. Thanks to Carson Woo for his helpful comments and insights on this paper. Special thanks to the International Conference on Conceptual Modeling for the honour of presenting my work as a recipient of the 2018 Peter P. Chen Award.

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Authors and Affiliations

  1. Computer Information Systems, J. Mack Robinson College of Business, Georgia State University, Atlanta, GA, 30302-4015, USA

    Veda C. Storey

Authors
  1. Veda C. Storey
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Correspondence to Veda C. Storey .

Editor information

Editors and Affiliations

  1. Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

    Alberto H. F. Laender

  2. Politecnico di Milano, Milan, Italy

    Barbara Pernici

  3. Singapore Management University, Singapore, Singapore

    Ee-Peng Lim

  4. Univ Federal do Rio Grande do Sul, Porto Alegre, Brazil

    José Palazzo M. de Oliveira

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Storey, V.C. (2019). Data Management in the Era of Digitalization. In: Laender, A., Pernici, B., Lim, EP., de Oliveira, J. (eds) Conceptual Modeling. ER 2019. Lecture Notes in Computer Science(), vol 11788. Springer, Cham. https://doi.org/10.1007/978-3-030-33223-5_1

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  • DOI: https://doi.org/10.1007/978-3-030-33223-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33222-8

  • Online ISBN: 978-3-030-33223-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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