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Integrating Jupyter into Research Computing Ecosystems
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Integrating Jupyter into Research Computing Ecosystems (2020)Integrating Jupyter into Research Computi…A Large-Scale Study About Quality and Reproducibility of Jupyter Notebooks (2019)A Large-Scale Study About Qua…DesignSafe: New Cyberinfrastructure for Natural Hazards Engineering (2017)DesignSafe: New Cyberinfrastr…Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)Jupyter Notebooks – a publish…Scaling Notebooks as Re-configurable Cloud Workflows (2022)Scaling Notebooks as Re-confi…Provenance for Computational Tasks: A Survey (2008)Best Practices for Scientific Computing (2014)Assessing and restoring reproducibility of Jupyter notebooks (2020)Traceability for Trustworthy AI: A Review of Models and Tools (2021)A large-scale study on research code quality and execution (2022)CyberGIS‐Jupyter for reproducible and scalable geospatial analytics (2018)Why Jupyter is data scientists’ computational notebook of choice (2018)Accelerating Experimental Science Using Jupyter and NERSC HPC (2020)Open science challenges, benefits and tips in early career and beyond (2019)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update (2020)NeuroKit2: A Python toolbox for neurophysiological signal processing (2021)A Framework for Convergence Research in the Hazards and Disaster Field: The Natural Hazards Engineering Research Infrastructure CONVERGE Facility (2020)Tapis: An API Platform for Reproducible, Distributed Computational Research (2021)CyVerse: Cyberinfrastructure for open science (2024)
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References

  • 2016Jupyter Notebooks – a publishing format for reproducible computational workflows3,191 cited
  • 2017DesignSafe: New Cyberinfrastructure for Natural Hazards Engineering292 cited
  • 2019A Large-Scale Study About Quality and Reproducibility of Jupyter Notebooks257 cited

Cited by

  • 2022Scaling Notebooks as Re-configurable Cloud Workflows9 cited

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