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dc.contributor.authorWidmer, Michael-
dc.contributor.authorHegyi, Stefan-
dc.date.accessioned2021-04-23T12:50:35Z-
dc.date.available2021-04-23T12:50:35Z-
dc.date.issued2019-
dc.identifier.isbn978-3-030-11820-4de_CH
dc.identifier.isbn978-3-030-11821-1de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/22326-
dc.description.abstractData 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.de_CH
dc.language.isodede_CH
dc.publisherSpringerde_CH
dc.relation.ispartofApplied data science : lessons learned for the data-driven businessde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.subject.ddc340: Rechtde_CH
dc.titleLegal aspects of applied data sciencede_CH
dc.typeBuchbeitragde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitInstitut für Unternehmensrecht (IUR)de_CH
zhaw.publisher.placeChamde_CH
dc.identifier.doi10.1007/978-3-030-11821-1_5de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end78de_CH
zhaw.pages.start63de_CH
zhaw.parentwork.editorBraschler, Martin-
zhaw.parentwork.editorStadelmann, Thilo-
zhaw.parentwork.editorStockinger, Kurt-
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewEditorial reviewde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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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