![](https://d3ilqtpdwi981i.cloudfront.net/bc26wnuaNL87oJnmgm9z-PBb8ks=/425x550/smart/https://bepress-attached-resources.s3.amazonaws.com/uploads/7b/6d/b9/7b6db91c-2dd7-459a-a3f4-8f7b989b2f81/thumbnail_8f3724f8-873c-4bc1-9b95-e4af36c8193f.jpg)
Contribution to Book
Is Europe Falling Behind in Data Mining? Copyright's Impact on Data Mining in Academic Research
Articles, Book Chapters, & Popular Press
Document Type
Book Chapter
Publication Date
1-1-2015
Keywords
- Data Mining,
- Copyright,
- Academic Research,
- Innovation,
- Copyright Protection
Disciplines
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
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Citation Information
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.
© 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