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The Scholarly Database (SDB) at Indiana University aims to serve researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets.  The online interface at http://sdb.cns.iu.edu provides access to four datasets: MEDLINE papers, U.S. Patent and Trademark Office patents (USPTO), National Science Foundation (NSF) funding, and National Institutes of Health (NIH) funding – over 25 million records in total.  Users can register for free to cross-search these databases and to download result sets as dumps for scientometrics research and science policy practice.

The SDB team comprises Nianli Ma and Katy Börner at the Cyberinfrastructure for Network Science Center, Indiana University. The initial database was setup by Gavin La Rowe, Sumeet Ambre, John Burgoon, Russell J. Duhon, Elisha F. Harday and Weimao Ke.

References

News

Whitfield, John. 2008. Group Theory. Nature, 455, 9: 720-723.

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