Journal article
Tests of Methods for Evaluating Bibliographic Databases: An Analysis of the National Library of Medicine's Handling of Literatures in the Medical Behavioral Sciences
Journal of the American Society for Information Science, v 37(4), pp 261-270
01 Jul 1986
PMID: 10300954
Abstract
This article reports on five separate studies designed for the National Library of Medicine (NLM) to develop and test methodologies for evaluating the products of large databases. The methodologies were tested on litera- tures of the medical behavioral sciences (MBS). One of these studies examined how well NLM covered MBS monographic literature using CATLINE and OCLC. An- other examined MBS journal and serial literature cover- age in MEDLINE and other MBS-related databases avail- able through DIALOG. These two studies used 1010 items derived from the reference lists of sixty-one jour- nals, and tested for gaps and overlaps in coverage in the various databases. A third study examined the quality of the indexing NLM provides to MBS literatures and devel- oped a measure of indexing as a system component. The final two studies explored how well MEDLINE retrieved documents on topics submitted by MBS professionals and how online searchers viewed MEDLINE (and other systems and databases) in handling MBS topics. The five studies yielded both broad research outcomes and specific recommendations to NLM.
Metrics
Details
- Title
- Tests of Methods for Evaluating Bibliographic Databases: An Analysis of the National Library of Medicine's Handling of Literatures in the Medical Behavioral Sciences
- Creators
- Belver Griffith - Drexel UniversityHoward White - Drexel UniversityM DrottJerry Saye - University of North Carolina at Chapel HillM Carl Drott - Information Science (Informatics)
- Publication Details
- Journal of the American Society for Information Science, v 37(4), pp 261-270
- Publisher
- Wiley Periodicals Inc
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science; [Retired Faculty]
- Web of Science ID
- WOS:A1986D113900011
- Scopus ID
- 2-s2.0-0022745120
- Other Identifier
- 991019174725604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Information Science & Library Science