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Legal Aspects of Applied Data Science

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Abstract

Data scientists operate in a legal context and the knowledge of its rules provides great benefit to any applied data science project under consideration, in particular with view to later commercialization. Taking into account legal aspects early on may prevent larger legal issues at a subsequent project stage. In this chapter we will present some legal topics to provide data scientists with a frame of reference for their activities from a legal perspective, in particular: (1) comments on the qualification and protection of “data” from a legal perspective, including intellectual property issues; (2) data protection law; and (3) regulatory law. While the legal framework is not the same worldwide and this chapter mainly deals with Swiss law as an example, many of the topics mentioned herein also come up in other legislations.

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Authors and Affiliations

  1. ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland

    Michael Widmer & Stefan Hegy

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  1. Michael Widmer
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  2. Stefan Hegy
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Correspondence to Stefan Hegy .

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Editors and Affiliations

  1. Inst. of Applied Information Technology, ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland

    Martin Braschler

  2. Inst. of Applied Information Technology, ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland

    Thilo Stadelmann

  3. Inst. of Applied Information Technology, ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland

    Kurt Stockinger

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Widmer, M., Hegy, S. (2019). Legal Aspects of Applied Data Science. In: Braschler, M., Stadelmann, T., Stockinger, K. (eds) Applied Data Science. Springer, Cham. https://doi.org/10.1007/978-3-030-11821-1_5

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  • DOI: https://doi.org/10.1007/978-3-030-11821-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11820-4

  • Online ISBN: 978-3-030-11821-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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