Reproducibility by other means: Transparent research objects

Timothy McPhillips, Craig Willis, Michael R. Gryk, Santiago Nunez-Corrales, Bertram Ludascher

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

Abstract

Research Objects have the potential to significantly enhance the reproducibility of scientific research. One important way Research Objects can do this is by encapsulating the means for re-executing the computational components of studies, thus supporting the new form of reproducibility enabled by digital computing-exact repeatability. However, Research Objects also can make scientific research more reproducible by supporting transparency, a component of reproducibility orthogonal to re-executability. We describe here our vision for making Research Objects more transparent by providing means for disambiguating claims about reproducibility generally, and computational repeatability specifically. We show how support for science-oriented queries can enable researchers to assess the reproducibility of Research Objects and the individual methods and results they encapsulate.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 15th International Conference on eScience, eScience 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages502-509
Number of pages8
ISBN (Electronic)9781728124513
DOIs
StatePublished - Sep 2019
Event15th IEEE International Conference on eScience, eScience 2019 - San Diego, United States
Duration: Sep 24 2019Sep 27 2019

Publication series

NameProceedings - IEEE 15th International Conference on eScience, eScience 2019

Conference

Conference15th IEEE International Conference on eScience, eScience 2019
CountryUnited States
CitySan Diego
Period9/24/199/27/19

Keywords

  • Provenance
  • Queries
  • Reproducibility
  • Transparency

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Ecological Modeling
  • Modeling and Simulation

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