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In-code citation practices in open research software libraries

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  • Alsudais, Abdulkareem

Abstract

While several aspects of open research software libraries have been studied, their in-code citation practices remain an unexplored area. In-code citations are citations of published scientific contributions added in the programming source code of research software libraries. In this paper, 73 such libraries are analyzed to determine the availability and consistency of in-code citations and reference sections. Findings indicate that 54 (73.9 %) of these libraries have at least one in-code citation. However, 47 had at least one incomplete citation and 89.3 % of libraries with several citations used multiple formats for citations. For reference sections, 36 of the libraries investigated in this study had at least one section. Still, inconsistencies in formats were also present as 83.3 % of the libraries with two or more sections used multiple formats for the sections, which may prevent automated programmers from indexing and collecting the list of references. Most importantly, this study investigates the availability of a systematic method that allows for the linking of references and in-code citations. Findings indicate that only six of the libraries had such a method, although many did not fully implement the method.

Suggested Citation

  • Alsudais, Abdulkareem, 2021. "In-code citation practices in open research software libraries," Journal of Informetrics, Elsevier, vol. 15(2).
  • Handle: RePEc:eee:infome:v:15:y:2021:i:2:s1751157721000109
    DOI: 10.1016/j.joi.2021.101139
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    1. Patil, Anand & Huard, David & Fonnesbeck, Christopher J., 2010. "PyMC: Bayesian Stochastic Modelling in Python," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 35(i04).
    2. Pan, Xuelian & Yan, Erjia & Cui, Ming & Hua, Weina, 2019. "How important is software to library and information science research? A content analysis of full-text publications," Journal of Informetrics, Elsevier, vol. 13(1), pages 397-406.
    3. Alexandra Chassanoff & Micah Altman, 2020. "Curation as “Interoperability With the Future”: Preserving Scholarly Research Software in Academic Libraries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(3), pages 325-337, March.
    4. Pan, Xuelian & Yan, Erjia & Cui, Ming & Hua, Weina, 2018. "Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools," Journal of Informetrics, Elsevier, vol. 12(2), pages 481-493.
    5. Sean J. Taylor & Benjamin Letham, 2018. "Forecasting at Scale," The American Statistician, Taylor & Francis Journals, vol. 72(1), pages 37-45, January.
    6. Anzt, Hartwig & Bach, Felix & Druskat, Stephan & Löffler, Frank & Loewe, Axel & Renard, Bernhard Y. & Seemann, Gunnar & Struck, Alexander & Achhammer, Elke & Aggarwal, Piush & Appel, Franziska & Bader, 2020. "An environment for sustainable research software in Germany and beyond: Current state, open challenges, and call for action," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9.
    7. Park, Hyoungjoo & Wolfram, Dietmar, 2019. "Research software citation in the Data Citation Index: Current practices and implications for research software sharing and reuse," Journal of Informetrics, Elsevier, vol. 13(2), pages 574-582.
    8. Li, Kai & Chen, Pei-Ying & Yan, Erjia, 2019. "Challenges of measuring software impact through citations: An examination of the lme4 R package," Journal of Informetrics, Elsevier, vol. 13(1), pages 449-461.
    9. Li, Kai & Yan, Erjia & Feng, Yuanyuan, 2017. "How is R cited in research outputs? Structure, impacts, and citation standard," Journal of Informetrics, Elsevier, vol. 11(4), pages 989-1002.
    10. Darrel C. Ince & Leslie Hatton & John Graham-Cumming, 2012. "The case for open computer programs," Nature, Nature, vol. 482(7386), pages 485-488, February.
    11. Li, Kai & Yan, Erjia, 2018. "Co-mention network of R packages: Scientific impact and clustering structure," Journal of Informetrics, Elsevier, vol. 12(1), pages 87-100.
    12. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
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