Document Type
Book Chapter
Publication Date
2015
Keywords
Data Mining, Copyright, Academic Research, Innovation, Copyright Protection
Abstract
This empirical paper discusses how copyright affects data mining (DM) by academic researchers. Based on bibliometric data, we show that where DM for academic research requires the express consent of rights holders: (1) DM makes 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 is the first time that an empirical study bears out a significant negative association between copyright protection and innovation.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Christian Handke, Lucie Guibault, & Joan-Josep Vallbé, "Is Europe Falling Behind in Data Mining? Copyright's Impact on Data Mining in Academic Research" in Birgit Schmidt & Milena Dobreva, eds, New Avenues for Electronic Publishing in the Age of Infinite Collections and Citizen Science: Scale, Openness and Trust (Amsterdam: IOS Press, 2015) 120.
Included in
Comparative and Foreign Law Commons, Computer Law Commons, Intellectual Property Law Commons, Legal Writing and Research Commons
Comments
© 2015 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License. doi:10.3233/978-1-61499-562-3-120