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Open reproducible scientometric research with Alexandria3k.

Diomidis Spinellis1,2

  • 1Department of Management Science and Technology, Athens University of Economics and Business, Athens, Greece.

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Summary

Alexandria3k is a Python tool that enables reproducible analysis of scientific publications. It populates databases from open metadata, facilitating transparent research and bibliometric insights.

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Area of Science:

  • Bibliometrics
  • Scientometrics
  • Scientific Information Management

Background:

  • Scientific literature analysis relies on online databases, but faces challenges in repeatability, transparency, and technical limitations.
  • Existing methods for synthesizing publication data often lack reproducibility.

Purpose of the Study:

  • To introduce Alexandria3k, a Python software package and command-line tool for reproducible scientific publication analysis.
  • To enable efficient and transparent processing and analysis of large publication metadata sets.
  • To demonstrate the utility of Alexandria3k in visualizing research trends and calculating bibliometric indicators.

Main Methods:

  • Developed Alexandria3k as a Python package and command-line tool.
  • Integrated functionality to populate embedded relational databases with open publication metadata.
  • Utilized versatile and performant queries for data processing and analysis.

Main Results:

  • Demonstrated Alexandria3k's capability to visualize the evolution of scientific fields and inter-publication relationships.
  • Outlined scientometric facts related to COVID-19 research using the tool.
  • Successfully replicated common bibliometric measures for scientific productivity, impact, and disruption.

Conclusions:

  • Alexandria3k provides a robust solution for reproducible and transparent analysis of scientific publications.
  • The software facilitates deeper insights into research trends, scientific impact, and the dynamics of scientific fields.
  • Offers a valuable tool for researchers, bibliometricians, and scientometricians.