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Related Experiment Videos

Management data for collection analysis and development

D A Kronick, V M Bowden

    Bulletin of the Medical Library Association
    |October 1, 1978
    PubMed
    Summary
    This summary is machine-generated.

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    This study compared health sciences library collections using computer databases to assess acquisitions and collection similarities. Findings reveal comparable collections between institutions, aiding library management strategies.

    Area of Science:

    • Library and Information Science
    • Health Sciences Librarianship
    • Bibliometrics

    Background:

    • Effective evaluation of health sciences library collections requires robust management data.
    • Computer databases offer a powerful tool for analyzing library holdings and acquisitions.

    Purpose of the Study:

    • To compare the collections of The University of Texas Health Science Center at San Antonio and The University of Texas Medical Branch using computer databases.
    • To assess acquisitions rates and collection similarities between the two institutions and the National Library of Medicine's CATLINE database.

    Main Methods:

    • Utilized computer databases, specifically CATLINE, for collection analysis.
    • Compared imprint dates of records to measure library acquisitions rates.
    • Analyzed subject profiles (Q and W classes) to determine collection similarities.

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    Main Results:

    • Demonstrated similarity between the collections of The University of Texas Health Science Center at San Antonio and The University of Texas Medical Branch.
    • Provided quantitative data on acquisitions rates through imprint date comparisons.
    • Identified subject profile similarities in specific classes (Q and W).

    Conclusions:

    • Computer database analysis is effective for evaluating health sciences library collections.
    • The collections of the studied institutions exhibit significant similarities.
    • Understanding collection variances is crucial for strategic library management and resource allocation.