Browse data: Studies
From Copyright EVIDENCE
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- Studies (909)
Studies > Data collection method :
Longitudinal Study or
Quantitative data/text mining
& Data industry:
Cultural education
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Cabell, D. (1) ·
Cave, M. (1) ·
Corbett, S. (1) ·
Deegan, M. (1) ·
Dickson, M. (1) ·
Dryden, J. (1) ·
Gerhardt, D. (1) ·
Graham, R. (1) ·
Guadamuz, A. (1) ·
Hansen, D. R. (1) ·
Hashimoto, K. (1) ·
Heinink, L. (1) ·
Hinze, G. (1) ·
Hudson, E. (2) ·
Kenyon, A. (1) ·
Korn, N. (1) ·
Morrison, C. (1) ·
Pritcher, L. (1) ·
Samuelson, P. (1) ·
Secker, J. (1) ·
Urban, J. M. (1)
Appel (1999) (1) ·
Astle and Muir (2002) (1) ·
Beebe (2008) (1) ·
Bettig (1996) (1) ·
Burrell and Coleman (2005) (1) ·
Coates et al (2009) (1) ·
Corbett (2011) (2) ·
Dryden (2008) (1) ·
EIFL (2013) (1) ·
Gladney (1999) (1) ·
Goldstein (2008) (1) ·
Gordon (1982) (1) ·
Green, MacDonald and Rice (2009) (1) ·
Hansen (2012) (1) ·
Hargreaves (2011) (1) ·
Heery (2005) (1) ·
Hirtle (2006) (1) ·
Jaszi (2010) (1) ·
Miller (2012) (1) ·
Oppenheim and Woodward (2004) (1) ·
Patry (1995) (1) ·
Patterson (1987) (1) ·
Pessach (2007) (2) ·
Pila and Torremans (2016) (1) ·
Smit and Van Der Graaf (2012) (1) ·
Stobo, Deazley and Anderson (2013) (4) ·
Vuopala (2010) (3) ·
White and Manton (2011) (1) ·
Wotherspoon (2003) (1) ·
Zimmerman (2007) (1)
K00: General (1) ·
K0: General (1) ·
K11: Property Law (2) ·
K39: Other (2) ·
K: Law and Economics (1) ·
O30: General (1) ·
O33: Technological Change: Choices and Consequences • Diffusion Processes (8) ·
O34: Intellectual Property and Intellectual Capital (11) ·
O38: Government Policy (8) ·
O3: Technological Change • Research and Development • Intellectual Property Rights (3) ·
Z18: Public Policy (2) ·
Other (13)
Confirmatory Factor Analysis (CFA) (1) ·
Descriptive statistics (counting; means reporting; cross-tabulation) (1) ·
Discourse Analysis (1) ·
Ethnographic/narrative analysis (2) ·
Legal Analysis (9) ·
Qualitative Analysis Methods (11) ·
Qualitative Coding / Sorting (e.g. of interview data) (3) ·
Quantitative Analysis Methods (10) ·
Quantitative content analysis (e.g. text or data mining) (8) ·
Regression Analysis (1) ·
Textual Content Analysis (9)
JISC (1) ·
Not stated (2) ·
The Social Sciences and Humanities Research Council of Canada for the doctoral fellowship and the Association of Colleges and Research Libraries for the Doctoral Dissertation Fellowship that covered the costs of data collection. (1) ·
The author gratefully acknowledges the generous support of the New Zealand Law Foundation for this research project. (1)
1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare (12) ·
3. Harmony of interest assumption between authors and publishers (creators and producers/investors) (9) ·
4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) (10) ·
5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media) (1)
B. Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction) (11) ·
C. Mass digitisation/orphan works (non-use; extended collective licensing) (10) ·
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) (8) ·
F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness) (1)
1910 to 1960 (1) ·
1990 to 2011 (1) ·
1997 to 2000 (1) ·
2004 - 2005 (1) ·
2004 to 2005 (1) ·
2005 to 2006 (1) ·
2007 - 2009 (1) ·
2007 to 2009 (1) ·
2008 to 2009 (1) ·
2012 - 2020 (1) ·
2013 (1) ·
2014 (1) ·
The empirical dataset consists of 446 federal copyright publication opinions decided before 2011. (1) ·
Usage of the Universities learn-management-system in 2012. (1)
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