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
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.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Management and Law
Organisational Unit: Center for Social Law (ZSR)
Appears in collections:Publikationen School of Management and Law

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