Is Europe Falling Behind in Data Mining? Copyright's Impact on Data Mining in Academic Research

Lucie Guibault; Christian Handke; Joan-Josep Vallbé

Is Europe Falling Behind in Data Mining? Copyright's Impact on Data Mining in Academic Research

Lucie Guibault, Christian Handke, Joan-Josep Vallbé

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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.

Original language	Canadian English
Title of host publication	Is Europe Falling Behind in Data Mining? Copyright's Impact on Data Mining in Academic Research
Publication status	Published - Jan. 1 2015

Keywords

Data Mining
Copyright
Academic Research
Innovation
Copyright Protection

Disciplines

Comparative and Foreign Law
Computer Law
Intellectual Property Law
Law
Legal Writing and Research

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Is Europe Falling Behind in Data Mining Copyrights Impact on DaFinal published version, 309 KBLicence: Unspecified

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title = "Is Europe Falling Behind in Data Mining? Copyright's Impact on Data Mining in Academic Research",

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.",

keywords = "Data Mining, Copyright, Academic Research, Innovation, Copyright Protection",

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

note = "Christian Handke, Lucie Guibault, & Joan-Josep Vallb{\'e}, {"}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.",

year = "2015",

month = jan,

day = "1",

language = "Canadian English",

booktitle = "Is Europe Falling Behind in Data Mining? Copyright's Impact on Data Mining in Academic Research",

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TY - CHAP

T1 - Is Europe Falling Behind in Data Mining? Copyright's Impact on Data Mining in Academic Research

AU - Guibault, Lucie

AU - Handke, Christian

AU - Vallbé, Joan-Josep

N1 - 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.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - 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.

AB - 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.

KW - Data Mining

KW - Copyright

KW - Academic Research

KW - Innovation

KW - Copyright Protection

UR - https://digitalcommons.schulichlaw.dal.ca/scholarly_works/1053

M3 - Chapter

BT - Is Europe Falling Behind in Data Mining? Copyright's Impact on Data Mining in Academic Research

ER -

Is Europe Falling Behind in Data Mining? Copyright's Impact on Data Mining in Academic Research

Abstract

Keywords

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