Scholarly Database
| dc.contributor.author | Ma, Nianli | en |
| dc.contributor.author | Duhon, Russell | en |
| dc.contributor.author | Borner, Katy | en |
| dc.date.accessioned | 2013-05-29T14:05:19Z | en |
| dc.date.available | 2013-05-29T14:05:19Z | en |
| dc.date.issued | 2008-11-05 | en |
| dc.description.abstract | The Scholarly Database (SDB) aims to serve the needs of researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets. The database currently provides access to 11 major datasets such as Medline, U.S. patents, National Science Foundation and National Institutes of Health funding awards - a total of about 20 million records. The books, journals, proceedings, patents, grants, technical reports, doctoral and master theses can be cross searched. Results can be downloaded as data dumps for further processing. The online interface at https://sdb.School of Library and Information Science.indiana.edu provides full-text search for four databases (MEDLINE, NSF, NIH, USPTO) using Solar. Specifically, it is able to search and filter the contents of these databases using many criteria and search fields, particularly those relevant for scientometric research and science policy practice. | en |
| dc.identifier.uri | https://hdl.handle.net/2022/16530 | en |
| dc.language.iso | en_US | en |
| dc.publisher | Indiana University Digital Library Program | en |
| dc.relation.isversionof | Click on the link below in the "External Files" section to play this video. The presentation file is also available below in the "Files" section. | en |
| dc.relation.uri | https://purl.dlib.indiana.edu/iudl/media/s55m312x13 | en |
| dc.subject.lcsh | Information visualization | en |
| dc.subject.lcsh | Database searching | en |
| dc.title | Scholarly Database | en |
| dc.type | Presentation | en |
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