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Assessing the uptake of persistent identifiers by research infrastructure users

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  • Matthew S Mayernik
  • Keith E Maull

Abstract

Significant progress has been made in the past few years in the development of recommendations, policies, and procedures for creating and promoting citations to data sets, software, and other research infrastructures like computing facilities. Open questions remain, however, about the extent to which referencing practices of authors of scholarly publications are changing in ways desired by these initiatives. This paper uses four focused case studies to evaluate whether research infrastructures are being increasingly identified and referenced in the research literature via persistent citable identifiers. The findings of the case studies show that references to such resources are increasing, but that the patterns of these increases are variable. In addition, the study suggests that citation practices for data sets may change more slowly than citation practices for software and research facilities, due to the inertia of existing practices for referencing the use of data. Similarly, existing practices for acknowledging computing support may slow the adoption of formal citations for computing resources.

Suggested Citation

  • Matthew S Mayernik & Keith E Maull, 2017. "Assessing the uptake of persistent identifiers by research infrastructure users," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-15, April.
    • Handle: RePEc:plo:pone00:0175418
    DOI: 10.1371/journal.pone.0175418
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    References listed on IDEAS

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    1. Isabella Peters & Peter Kraker & Elisabeth Lex & Christian Gumpenberger & Juan Gorraiz, 2016. "Research data explored: an extended analysis of citations and altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 723-744, May.
    2. Nicolas Robinson-García & Evaristo Jiménez-Contreras & Daniel Torres-Salinas, 2016. "Analyzing data citation practices using the data citation index," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(12), pages 2964-2975, December.
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