Software and Data Citation

Daniel S. Katz, Neil P.Chue Hong, Tim Clark, Martin Fenner, Maryann E. Martone

Research output: Contribution to journalReview articlepeer-review

Abstract

This special issue is intended to inform the scientific computing community about recent advances and the current state of the art in software and data citation. Initial work has been done elsewhere to define standards and principles for software and data citation, and the basic required infrastructure is now in place. The challenge now is to adopt these practices. As their uptake increases, we believe that our professional culture will increasingly encourage production and sharing of software and data, leading to better and more reproducible and reusable results. The articles in this special issue discuss how software, data, and related digital objects are cited and otherwise mentioned in publications today, how to best cite them to make them accessible in the future, and what we can learn from the citations.

Original languageEnglish (US)
Article number9018356
Pages (from-to)4-7
Number of pages4
JournalComputing in Science and Engineering
Volume22
Issue number2
DOIs
StatePublished - Mar 1 2020

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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