Understanding software in research: Initial results from examining nature and a call for collaboration

Udit Nangia, Daniel S. Katz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This lightning talk paper discusses an initial data set that has been gathered to understand the use of software in research, and is intended to spark wider interest in gathering more data. The initial data analyzes three months of articles in the journal Nature for software mentions. The wider activity that we seek is a community effort to analyze a wider set of articles, including both a longer timespan of Nature articles as well as articles in other journals. Such a collection of data could be used to understand how the role of software has changed over time and how it varies across fields.

Original languageEnglish (US)
Title of host publicationProceedings - 13th IEEE International Conference on eScience, eScience 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages486-487
Number of pages2
ISBN (Electronic)9781538626863
DOIs
StatePublished - Nov 14 2017
Event13th IEEE International Conference on eScience, eScience 2017 - Auckland, New Zealand
Duration: Oct 24 2017Oct 27 2017

Publication series

NameProceedings - 13th IEEE International Conference on eScience, eScience 2017

Other

Other13th IEEE International Conference on eScience, eScience 2017
Country/TerritoryNew Zealand
CityAuckland
Period10/24/1710/27/17

Keywords

  • software citation
  • software in literature
  • software use

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computer Networks and Communications
  • Computer Science Applications
  • Computers in Earth Sciences
  • Social Sciences (miscellaneous)

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