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Bibliometrics and Research Evaluation (Uses and Abuses)

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9780262035125
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  • Product Details

    Author:
    Yves Gingras
    Series:
    History and Foundations of Information Science
    Format:
    Hardcover
    Pages:
    136
    Publisher:
    MIT Press (October 7, 2016)
    Language:
    English
    ISBN-13:
    9780262035125
    ISBN-10:
    026203512X
    Weight:
    12.4oz
    Dimensions:
    6.25" x 9.25" x 0.61"
    Case Pack:
    44
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T164101_155746753-20260405.xml
    Folder:
    RandomHouse
    List Price:
    $30.00
    As low as:
    $23.10
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
    Audience:
    General/trade
    Country of Origin:
    United States
    Pub Discount:
    65
    Imprint:
    The MIT Press
  • Overview

    Why bibliometrics is useful for understanding the global dynamics of science but generate perverse effects when applied inappropriately in research evaluation and university rankings.

    The research evaluation market is booming. “Ranking,” “metrics,” “h-index,” and “impact factors” are reigning buzzwords. Government and research administrators want to evaluate everything—teachers, professors, training programs, universities—using quantitative indicators. Among the tools used to measure “research excellence,” bibliometrics—aggregate data on publications and citations—has become dominant. Bibliometrics is hailed as an “objective” measure of research quality, a quantitative measure more useful than “subjective” and intuitive evaluation methods such as peer review that have been used since scientific papers were first published in the seventeenth century. In this book, Yves Gingras offers a spirited argument against an unquestioning reliance on bibliometrics as an indicator of research quality. Gingras shows that bibliometric rankings have no real scientific validity, rarely measuring what they pretend to.

    Although the study of publication and citation patterns, at the proper scales, can yield insights on the global dynamics of science over time, ill-defined quantitative indicators often generate perverse and unintended effects on the direction of research. Moreover, abuse of bibliometrics occurs when data is manipulated to boost rankings. Gingras looks at the politics of evaluation and argues that using numbers can be a way to control scientists and diminish their autonomy in the evaluation process. Proposing precise criteria for establishing the validity of indicators at a given scale of analysis, Gingras questions why universities are so eager to let invalid indicators influence their research strategy.