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Quantifying the Consistency of Scientific Databases

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  • Lovro Šubelj
  • Marko Bajec
  • Biljana Mileva Boshkoska
  • Andrej Kastrin
  • Zoran Levnajić

Abstract

Science is a social process with far-reaching impact on our modern society. In recent years, for the first time we are able to scientifically study the science itself. This is enabled by massive amounts of data on scientific publications that is increasingly becoming available. The data is contained in several databases such as Web of Science or PubMed, maintained by various public and private entities. Unfortunately, these databases are not always consistent, which considerably hinders this study. Relying on the powerful framework of complex networks, we conduct a systematic analysis of the consistency among six major scientific databases. We found that identifying a single "best" database is far from easy. Nevertheless, our results indicate appreciable differences in mutual consistency of different databases, which we interpret as recipes for future bibliometric studies.

Suggested Citation

  • Lovro Šubelj & Marko Bajec & Biljana Mileva Boshkoska & Andrej Kastrin & Zoran Levnajić, 2015. "Quantifying the Consistency of Scientific Databases," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-16, May.
    • Handle: RePEc:plo:pone00:0127390
    DOI: 10.1371/journal.pone.0127390
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    Cited by:

    1. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.

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