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A framework for supporting the reproducibility of computational experiments in multiple scientific domains
16 references·0 citing·48 second hop
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References

  • 2010Qualitative Quality: Eight “Big-Tent” Criteria for Excellent Qualitative Research7,511 cited
  • 2015An introduction to Docker for reproducible research1,058 cited
  • 2001Workflow Management: Models, Methods, and Systems742 cited
  • 2016Enhancing reproducibility for computational methods413 cited
  • 2018Binder 2.0 - Reproducible, interactive, sharable environments for science at scale302 cited
  • 2017Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities181 cited
  • 2018Reproducibility in Scientific Computing149 cited
  • 2018Computing environments for reproducibility: Capturing the “Whole Tale”132 cited
  • 2011A survey of the practice of computational science113 cited
  • 2020Opening practice: supporting reproducibility and critical spatial data science111 cited
  • 2020Ten simple rules for writing Dockerfiles for reproducible data science107 cited
  • 2020Practical Reproducibility in Geography and Geosciences73 cited
  • 2019Computational Reproducibility via Containers in Psychology69 cited
  • 2017Sciunits: Reusable Research Objects54 cited
  • 2019Successes and Struggles with Computational Reproducibility: Lessons from the Fragile Families Challenge

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  • 2021Reasons, challenges, and some tools for doing reproducible transportation research43 cited
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