Testing Google Scholar bibliographic data: Estimating error rates for Google Scholar citation parsing

David Zeitlyn, Megan Beardmore-Herd

Abstract


We present some systematic tests of the quality of bibliographic data exports available from Google Scholar. While data quality is good for journal articles and conference proceedings, books and edited collections are often wrongly described or have incomplete data. We identify a particular problem with material from online repositories.


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DOI: https://doi.org/10.5210/fm.v23i11.8658



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