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The Turing Way

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The Turing Way is a lightly opinionated guide to reproducible data science.

Our goal is to provide all the information that researchers need at the start of their projects to ensure that they are easy to reproduce at the end.

This also means making sure PhD students, postdocs, PIs, and funding teams know which parts of the “responsibility of reproducibility” they can affect, and what they should do to nudge data science to being more efficient, effective, and understandable.

DOI: https://doi.org/10.5281/zenodo.3233853

Licence: Creative Commons Attribution 4.0 International

Keywords: Data Science, Reproducibility, Version control, Reproducible Environment, Continuous integration

Resource type: e-learning

Authors: Becky Arnold, Louise Bowler, Sarah Gibson, Patricia Herterich, Rosie Higman, Kirstie Whitaker

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