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Related Experiment Videos

On-line serials collection analysis.

M E Koenig

    Journal of the American Society for Information Science. American Society for Information Science
    |April 12, 1979
    PubMed
    Summary
    This summary is machine-generated.

    This study proposes an online system for serials collection analysis and decision-making. It integrates citation data, cost-effectiveness, and user needs to improve journal selection for diverse libraries.

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    Area of Science:

    • Library and Information Science
    • Bibliometrics
    • Collection Development

    Background:

    • Traditional serials collection management faces challenges with diverse user needs and cost-effectiveness.
    • Citation data alone can be misleading for journal selection without considering cost and local relevance.

    Purpose of the Study:

    • To propose a design for an integrated online system for serials decision-making and collection analysis.
    • To address limitations of existing methods by incorporating multiple data sources.

    Main Methods:

    • The proposed system integrates four components: citation data, serial records, utility/cost ratio compilation, and journal ranking techniques.
    • It includes user interface software for tailored responses to user interest profiles and local data integration.

    Main Results:

    • The system is designed to overcome criticisms of citation-only analysis by considering library diversity.
    • It emphasizes the essential inclusion of cost data alongside citation metrics for accurate journal ranking.

    Conclusions:

    • The proposed system offers a more satisfactory approach to serials selection by integrating diverse data.
    • It enhances collection analysis by responding to specific user interests and local contexts.