Copyright's impact on data mining in academic research

Christian Handke; Lucie Guibault; Joan Josep Vallbé

doi:10.1002/mde.3354

Copyright's impact on data mining in academic research

Christian Handke^*, Lucie Guibault, Joan Josep Vallbé

^*Corresponding author for this work

Department of Arts and Culture Studies

Research output: Contribution to journal › Article › Academic › peer-review

9 Citations (Scopus)

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Abstract

With the proliferation of digital data, data mining (DM)—in the sense of the discovery of valuable structures in large sets of data—is expected to increase the productivity of many types of research. This paper discusses how copyright affects DM by academic researchers. In some territories, academic DM is lawful if researchers have lawful access to input works. In other territories such as the European Union, lawful DM additionally requires specific consent by rights holders. Based on bibliometric data and quasi-experimental research designs, we show that where academic DM requires specific rights holder consent: (1) DM publications make up a significantly lower share of total research output, and (2) stronger rule of law is associated with less DM research. To our knowledge, this study is the first to empirically document an adverse effect of intellectual property (IP) on innovation under particular circumstances. There is strong evidence that copyright exceptions or limitations promote the adoption of DM research.

Original language	English
Pages (from-to)	1999-2016
Number of pages	18
Journal	Managerial and Decision Economics
Volume	42
Issue number	8
DOIs	https://doi.org/10.1002/mde.3354
Publication status	Published - 7 May 2021

Bibliographical note

Funding Information:
No external funding was used in the preparation of this paper. The authors are grateful to Merel Goedknegt and Saskia Woutersen-Windhouwer for effective research support. This paper also benefitted from comments by the participants of the research seminar on Cultural Economics at ESHCC, Erasmus University Rotterdam, the Ligue des Bibliothèques Européennes de Recherche (LIBER) Conference 2015, the International Conference on Electronic Publishing (ELPub) Conference 2015, and the European Policy for Intellectual Property (EPIP) Conference 2015. Earlier versions of this paper with less comprehensive data analysis received the Finalist Best Paper Award at the EPIP Conference 2015 and the LIBER Innovation Award 2015. This preliminary version is available on SSRN and has been published in the LIBER Conference 2015 proceedings.

Publisher Copyright:
© 2021 The Authors. Managerial and Decision Economics published by John Wiley & Sons Ltd.

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Copyright's impact on data mining in academic researchFinal published version, 3.1 MBLicence: CC BY

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title = "Copyright's impact on data mining in academic research",

abstract = "With the proliferation of digital data, data mining (DM)—in the sense of the discovery of valuable structures in large sets of data—is expected to increase the productivity of many types of research. This paper discusses how copyright affects DM by academic researchers. In some territories, academic DM is lawful if researchers have lawful access to input works. In other territories such as the European Union, lawful DM additionally requires specific consent by rights holders. Based on bibliometric data and quasi-experimental research designs, we show that where academic DM requires specific rights holder consent: (1) DM publications make up a significantly lower share of total research output, and (2) stronger rule of law is associated with less DM research. To our knowledge, this study is the first to empirically document an adverse effect of intellectual property (IP) on innovation under particular circumstances. There is strong evidence that copyright exceptions or limitations promote the adoption of DM research.",

author = "Christian Handke and Lucie Guibault and Vallb{\'e}, {Joan Josep}",

note = "Funding Information: No external funding was used in the preparation of this paper. The authors are grateful to Merel Goedknegt and Saskia Woutersen-Windhouwer for effective research support. This paper also benefitted from comments by the participants of the research seminar on Cultural Economics at ESHCC, Erasmus University Rotterdam, the Ligue des Biblioth{\`e}ques Europ{\'e}ennes de Recherche (LIBER) Conference 2015, the International Conference on Electronic Publishing (ELPub) Conference 2015, and the European Policy for Intellectual Property (EPIP) Conference 2015. Earlier versions of this paper with less comprehensive data analysis received the Finalist Best Paper Award at the EPIP Conference 2015 and the LIBER Innovation Award 2015. This preliminary version is available on SSRN and has been published in the LIBER Conference 2015 proceedings. Publisher Copyright: {\textcopyright} 2021 The Authors. Managerial and Decision Economics published by John Wiley & Sons Ltd.",

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AB - With the proliferation of digital data, data mining (DM)—in the sense of the discovery of valuable structures in large sets of data—is expected to increase the productivity of many types of research. This paper discusses how copyright affects DM by academic researchers. In some territories, academic DM is lawful if researchers have lawful access to input works. In other territories such as the European Union, lawful DM additionally requires specific consent by rights holders. Based on bibliometric data and quasi-experimental research designs, we show that where academic DM requires specific rights holder consent: (1) DM publications make up a significantly lower share of total research output, and (2) stronger rule of law is associated with less DM research. To our knowledge, this study is the first to empirically document an adverse effect of intellectual property (IP) on innovation under particular circumstances. There is strong evidence that copyright exceptions or limitations promote the adoption of DM research.

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Copyright's impact on data mining in academic research

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