Testing Google Scholar bibliographic data: Estimating error rates for Google Scholar citation parsing
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.
Published
2018-11-01
How to Cite
Zeitlyn, D., & Beardmore-Herd, M. (2018). Testing Google Scholar bibliographic data: Estimating error rates for Google Scholar citation parsing. First Monday, 23(11). https://doi.org/10.5210/fm.v23i11.8658
Section
Articles
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