The growing importance of reproducibility and responsible workflow in the data science and statistics curriculum

Horton, N.J., Alexander, R., Parker, M. et al. (2 more authors) (2022) The growing importance of reproducibility and responsible workflow in the data science and statistics curriculum. Journal of Statistics and Data Science Education, 30 (3). pp. 207-208. ISSN 2693-9169

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Item Type: Article
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© 2022 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Dates:
  • Published (online): 18 November 2022
  • Published: 2 September 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 21 Dec 2022 11:22
Last Modified: 21 Dec 2022 11:22
Status: Published
Publisher: Taylor & Francis Group
Refereed: Yes
Identification Number: 10.1080/26939169.2022.2141001
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