| Publication type: | Book part |
| Type of review: | Editorial review |
| Title: | Legal aspects of applied data science |
| Authors: | Widmer, Michael Hegyi, Stefan |
| et. al: | No |
| DOI: | 10.1007/978-3-030-11821-1_5 |
| Published in: | Applied data science : lessons learned for the data-driven business |
| Editors of the parent work: | Braschler, Martin Stadelmann, Thilo Stockinger, Kurt |
| Page(s): | 63 |
| Pages to: | 78 |
| Issue Date: | 2019 |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-030-11820-4 978-3-030-11821-1 |
| Language: | German |
| Subject (DDC): | 006: Special computer methods 340: Law |
| 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/22326 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Management and Law |
| Organisational Unit: | Institute of Enterprise Law (IUR) |
| Appears in collections: | Publikationen School of Management and Law |
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Widmer, M., & Hegyi, S. (2019). Legal aspects of applied data science. In M. Braschler, T. Stadelmann, & K. Stockinger (eds.), Applied data science : lessons learned for the data-driven business (pp. 63–78). Springer. https://doi.org/10.1007/978-3-030-11821-1_5
Widmer, M. and Hegyi, S. (2019) ‘Legal aspects of applied data science’, in M. Braschler, T. Stadelmann, and K. Stockinger (eds) Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 63–78. Available at: https://doi.org/10.1007/978-3-030-11821-1_5.
M. Widmer and S. Hegyi, “Legal aspects of applied data science,” in Applied data science : lessons learned for the data-driven business, M. Braschler, T. Stadelmann, and K. Stockinger, Eds. Cham: Springer, 2019, pp. 63–78. doi: 10.1007/978-3-030-11821-1_5.
WIDMER, Michael und Stefan HEGYI, 2019. Legal aspects of applied data science. In: Martin BRASCHLER, Thilo STADELMANN und Kurt STOCKINGER (Hrsg.), Applied data science : lessons learned for the data-driven business. Cham: Springer. S. 63–78. ISBN 978-3-030-11820-4
Widmer, Michael, and Stefan Hegyi. 2019. “Legal aspects of applied data science.” In Applied data science : lessons learned for the data-driven business, edited by Martin Braschler, Thilo Stadelmann, and Kurt Stockinger, 63–78. Cham: Springer. https://doi.org/10.1007/978-3-030-11821-1_5.
Widmer, Michael, and Stefan Hegyi. “Legal aspects of applied data science.” Applied data science : lessons learned for the data-driven business, edited by Martin Braschler et al., Springer, 2019, pp. 63–78, https://doi.org/10.1007/978-3-030-11821-1_5.
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