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  Incentives for Data Sharing as a Case on (Regulating) Knowledge Externalities

Kim, D. (2023). Incentives for Data Sharing as a Case on (Regulating) Knowledge Externalities. In C. Godt, & M. Lamping (Eds.), A Critical Mind. Hanns Ullrich’s Footprint in Internal Market Law, Antitrust and Intellectual Property (pp. 407-439). Berlin: Springer.

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Genre: Contribution to Festschrift

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 Creators:
Kim, Daria1, Author           
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1MPI for Innovation and Competition, Max Planck Society, ou_2035291              

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 Abstract: This contribution reflects on the question posed by Professor Hanns Ullrich: Which concepts and principles of intellectual property law inform the design of a regulatory framework for the data economy? Even though data and knowledge do not lend themselves to form a perfect analogy, their governance underlies the same dilemma of whether, and to what extent, resources that are non-rivalrous in use should be treated as excludable or a non-excludable economic goods. The analysis focuses on the ‘access-incentives stalemate’ over device-generated data and takes recourse to literature on economics of knowledge and innovation in search of guidance as to how the trade-off between the broad accessibility of data and the protection of innovation incentives should be resolved.

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Language(s): eng - English
 Dates: 2023
 Publication Status: Issued
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-662-65974-8_16
 Degree: -

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Title: A Critical Mind. Hanns Ullrich’s Footprint in Internal Market Law, Antitrust and Intellectual Property
Source Genre: Festschrift
 Creator(s):
Godt, Christine1, Editor
Lamping, Matthias2, Editor           
Affiliations:
1 External Organizations, ou_persistent22            
2 MPI for Innovation and Competition, Max Planck Society, ou_2035291            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 407 - 439 Identifier: ISBN: 978-3-662-65973-1

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Title: MPI Studies on Intellectual Property and Competition Law
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Pages: - Volume / Issue: 30 Sequence Number: - Start / End Page: - Identifier: -