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Ten Simple Rules for Reproducible Research in Jupyter Notebooks
8 references·2 citing·37 second hop
Ten Simple Rules for Reproducible Research in Jupyter Notebooks (2018)Ten Simple Rules for Reproducible Researc…Exploration and Explanation in Computational Notebooks (2018)Exploration and Explanation i…Binder 2.0 - Reproducible, interactive, sharable environments for science at scale (2018)Binder 2.0 - Reproducible, in…Good enough practices in scientific computing. (2017)Good enough practices in scie…The hard road to reproducibility (2016)The hard road to reproducibil…Ten Simple Rules for Taking Advantage of Git and GitHub (2016)Ten Simple Rules for Taking A…Ten Simple Rules for Reproducible Computational Research (2013)Ten Simple Rules for Reproduc…Ten Simple Rules for the Open Development of Scientific Software (2012)Ten Simple Rules for the Open…Reproducible Research in Computational Science (2011)Reproducible Research in Comp…SWIRRL. Managing Provenance-aware and Reproducible Workspaces (2022)SWIRRL. Managing Provenance-a…Reproducible Notebook Containers using Application Virtualization (2022)Reproducible Notebook Contain…Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)Galaxy: A platform for interactive large-scale genome analysis (2005)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension (2021)Computational science: ...Error (2010)Best Practices for Scientific Computing (2014)Better Software, Better Research (2014)Four simple recommendations to encourage best practices in research software (2017)Challenges and recommendations to improve the installability and archival stability of omics computational tools (2019)WaveLab and Reproducible Research (1995)Git can facilitate greater reproducibility and increased transparency in science (2013)Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks (2019)Heterogeneous green innovations and carbon emission performance: Evidence at China's city level (2021)The WyCash portfolio management system (1992)Does high public debt consistently stifle economic growth? A critique of Reinhart and Rogoff (2013)A Large-Scale Study About Quality and Reproducibility of Jupyter Notebooks (2019)Human-AI Collaboration in Data Science (2019)Statistical Analyses and Reproducible Research (2007)1,500 scientists lift the lid on reproducibility (2016)A large-scale study on research code quality and execution (2022)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Our path to better science in less time using open data science tools (2017)Identifying and Overcoming Threats to Reproducibility, Replicability, Robustness, and Generalizability in Microbiome Research (2018)D-PROV: extending the PROV provenance model with workflow structure (2013)Using Jupyter for Reproducible Scientific Workflows (2021)Implementing Reproducible Research (2014)Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)ReproZip (2016)Evaluating Tools for Enhancing Reproducibility in Computational Scientific Experiments (2024)Kishu: Time-Traveling for Computational Notebooks (2024)Increasing value and reducing waste in research design, conduct, and analysis (2014)Reproducibility in Science (2014)An introduction to Docker for reproducible research (2015)A Reproducible Data Analysis Workflow (2021)Learning from reproducing computational results: introducing three principles and the Reproduction Package (2021)CSDMS: a community platform for numerical modeling of Earth surface processes (2022)
this work references cited by second hop

References

  • 2011Reproducible Research in Computational Science1,446 cited
  • 2013Ten Simple Rules for Reproducible Computational Research875 cited
  • 2017Good enough practices in scientific computing.452 cited
  • 2018Exploration and Explanation in Computational Notebooks343 cited
  • 2018Binder 2.0 - Reproducible, interactive, sharable environments for science at scale302 cited
  • 2016Ten Simple Rules for Taking Advantage of Git and GitHub231 cited
  • 2012Ten Simple Rules for the Open Development of Scientific Software143 cited
  • 2016The hard road to reproducibility51 cited

Cited by

  • 2022Reproducible Notebook Containers using Application Virtualization17 cited
  • 2022SWIRRL. Managing Provenance-aware and Reproducible Workspaces10 cited

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