The Scholarly Database and its utility for scientometrics research

Gavin LaRowe (), Sumeet Ambre, John Burgoon, Weimao Ke and Katy Börner
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Gavin LaRowe: Indiana University
Sumeet Ambre: Indiana University
John Burgoon: Indiana University
Weimao Ke: Indiana University
Katy Börner: Indiana University

Scientometrics, 2009, vol. 79, issue 2, No 1, 219-234

Abstract: Abstract The Scholarly Database aims to serve researchers and practitioners interested in the analysis, modelling, and visualization of large-scale data sets. A specific focus of this database is to support macro-evolutionary studies of science and to communicate findings via knowledge-domain visualizations. Currently, the database provides access to about 18 million publications, patents, and grants. About 90% of the publications are available in full text. Except for some datasets with restricted access conditions, the data can be retrieved in raw or pre-processed formats using either a web-based or a relational database client. This paper motivates the need for the database from the perspective of bibliometric/scientometric research. It explains the database design, setup, etc., and reports the temporal, geographical, and topic coverage of data sets currently served via the database. Planned work and the potential for this database to become a global testbed for information science research are discussed at the end of the paper.

Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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DOI: 10.1007/s11192-009-0414-2

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