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ReproZip: using provenance to support computational reproducibility
3 references·16 citing·49 second hop
ReproZip: using provenance to support computational reproducibility (2013)ReproZip: using provenance to support com…Computational reproducibility (2012)Computational reproducibilityAutomated Capture of Experiment Context for Easier Reproducibility in Computational Research (2012)Automated Capture of Experime…Guest Editors' Introduction: Reproducible Research (2008)Guest Editors' Introduction: …Computational reproducibility of Jupyter notebooks from biomedical publications (2024)Computational reproducibility…Capturing and Analyzing Provenance from Spark-based Scientific Workflows with SAMbA-RaP (2020)Capturing and Analyzing Prove…A Survey on Collecting, Managing, and Analyzing Provenance from Scripts (2019)A Survey on Collecting, Manag…Utilizing Provenance in Reusable Research Objects (2018)Utilizing Provenance in Reusa…Towards computational reproducibility: researcher perspectives on the use and sharing of software (2018)Towards computational reprodu…Towards computational 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References

  • 2008Guest Editors' Introduction: Reproducible Research127 cited
  • 2012Automated Capture of Experiment Context for Easier Reproducibility in Computational Research105 cited
  • 2012Computational reproducibility93 cited

Cited by

  • 2017noWorkflow59 cited
  • 2017A Templating System to Generate Provenance52 cited
  • 2024Computational reproducibility of Jupyter notebooks from biomedical publications51 cited
  • 2018Towards computational reproducibility: researcher perspectives on the use and sharing of software49 cited
  • 2019A Survey on Collecting, Managing, and Analyzing Provenance from Scripts47 cited
  • 2014CARE, the comprehensive archiver for reproducible execution37 cited
  • 2015Towards Reproducibility in Scientific Workflows: An Infrastructure-Based Approach36 cited
  • 2015Collecting and Analyzing Provenance on Interactive Notebooks: when IPython meets noWorkflow35 cited
  • 2017ProvDB32 cited
  • 2016Reproducibility of execution environments in computational science using Semantics and Clouds31 cited
  • 2016A framework for scientific workflow reproducibility in the cloud29 cited
  • 2020Capturing and Analyzing Provenance from Spark-based Scientific Workflows with SAMbA-RaP

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25 cited
  • 2018Utilizing Provenance in Reusable Research Objects24 cited
  • 2018Provenance Network Analytics23 cited
  • 2015Four level provenance support to achieve portable reproducibility of scientific workflows19 cited
  • 2018Towards computational reproducibility: researcher perspectives on the use and sharing of software18 cited