Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks

Adam Rule · Amanda Birmingham · Cristal Zúñiga · İlkay Altıntaş · Shih-Cheng Huang · Rob D. Knight +4 more

168 citations0/0 files storedPLoS Computational Biology

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Scientific Computing and Data Management Research Data Management Practices Academic Publishing and Open Access

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Author(s): Rule, Adam; Birmingham, Amanda; Zuniga, Cristal; Altintas, Ilkay; Huang, Shih-Cheng; Knight, Rob; Moshiri, Niema; Nguyen, Mai H; Rosenthal, Sara Brin; Pérez, Fernando; Rose, Peter W | Editor(s): Lewitter, Fran

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References

2016Jupyter Notebooks – a publishing format for reproducible computational workflows 2011Reproducible Research in Computational Science 2016Positioning and Power in Academic Publishing: Players, Agents and Agendas 2013Ten Simple Rules for Reproducible Computational Research 2017Good enough practices in scientific computing.2018Exploration and Explanation in Computational Notebooks 2018Binder 2.0 - Reproducible, interactive, sharable environments for science at scale 2016Ten Simple Rules for Taking Advantage of Git and GitHub

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2021Using Jupyter for Reproducible Scientific Workflows 2020Ten simple rules for writing Dockerfiles for reproducible data science 2023The five pillars of computational reproducibility: bioinformatics and beyond 2020Assessing and restoring reproducibility of Jupyter notebooks 2020Practical Reproducibility in Geography and Geosciences 2020Keeping modelling notebooks with TRACE: Good for you and good for environmental research and management support

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