The Economics of Open Bibliographic Data Provision
AbstractIn this paper; we discuss the provision of bibliographic data as an extension of the open source concept. Our particular concern is the sustainability of such projects. We describe the RePEc (Research Papers in Economics) project; probably the largest ‘open source’ bibliographic database; and show that open source bibliographic data collection is sustainable.
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Bibliographic InfoArticle provided by Queensland University of Technology (QUT), School of Economics and Finance in its journal Economic Analysis and Policy (EAP).
Volume (Year): 39 (2009)
Issue (Month): 1 (March)
open source; dissemination of research; open library; network economies;
Other versions of this item:
- Thomas Krichel & Christian Zimmermann, 2005. "The Economics of Open Bibliographic Data Provision," Working papers 2005-01, University of Connecticut, Department of Economics.
- L39 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Other
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Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:CitEc Project, subscribe to its RSS feed for this item.
- Richard S. J. Tol, 2013. "The Matthew Effect for Cohorts of Economists," Working Paper Series 5513, Department of Economics, University of Sussex.
- Christian Zimmermann, 2013.
"Academic Rankings with RePEc,"
MDPI, Open Access Journal, vol. 1(3), pages 249-280, December.
- Bernardo Batiz-Lazo & Thomas Krichel, 2011. "A Brief Business History of an on-line distribution system for academic research called NEP, 1998-2010," Working Papers 11005, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
- Zimmermann, Christian, 2010.
"La dissémination de la recherche en sciences économiques: les « cahiers de recherche »
[Dissemination Research in Economics: the "Working Papers"]," MPRA Paper 21029, University Library of Munich, Germany.
- Batiz-Lazo, Bernardo & Krichel, Thomas, 2010. "The creation of internet communities: A brief history of on-line distribution of working papers through NEP, 1998-2010," MPRA Paper 27085, University Library of Munich, Germany.
- Richard S.J. Tol, 2013. "Quantile Kernel Regression for Identifying Excellent Economists," Working Paper Series 6013, Department of Economics, University of Sussex.
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