Ten simple rules for building and maintaining a responsible data science workflow

• Sara Stoudt ,

  Roles Conceptualization, Writing – original draft, Writing – review & editing

  * E-mail: sas072@bucknell.edu (SS); v.danchev@qmul.ac.uk (VD)

  Affiliation Department of Mathematics, Bucknell University, Lewisburg, Pennsylvania, United States of America

  https://orcid.org/0000-0002-1693-8058

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• Yacine Jernite,

  Roles Conceptualization, Writing – review & editing

  Affiliation Hugging Face, Inc., New York, New York, United States of America

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• Brandeis Marshall,

  Roles Conceptualization, Writing – review & editing

  Affiliation DataedX Group, Atlanta, Georgia, United States of America

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• Ben Marwick,

  Roles Conceptualization, Writing – review & editing

  Affiliation Department of Anthropology, University of Washington, Seattle, Washington, United States of America

  https://orcid.org/0000-0001-7879-4531

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• Malvika Sharan,

  Roles Conceptualization, Writing – review & editing

  Affiliation The Alan Turing Institute, London, United Kingdom

  https://orcid.org/0000-0001-6619-7369

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• Kirstie Whitaker,

  Roles Conceptualization, Writing – review & editing

  Affiliation The Alan Turing Institute, London, United Kingdom

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• Valentin Danchev

  Roles Conceptualization, Writing – original draft, Writing – review & editing

  * E-mail: sas072@bucknell.edu (SS); v.danchev@qmul.ac.uk (VD)

  Affiliation School of Business and Management, Queen Mary University of London, London, United Kingdom

  https://orcid.org/0000-0002-7563-0168

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