Ten simple rules for organizing a data science workshop

Alise Ponsero¹, Ryan Bartelme², Gustavo de Oliveira Almeida², Alex Bigelow³, Reetu Tuteja⁴, Holly Ellingson⁵, Tyson Swetnam^{4

6}, Nirav Merchant^{4

5

6}, Maliaca Oxnam⁵, Eric Lyons^{2

4

6

7}

Affiliations

¹ Department of Biosystems Engineering, University of Arizona, Tucson, Arizona, United States of America.
² School of Information, University of Arizona, Tucson, Arizona, United States of America.
³ Department of Computer Science, University of Arizona, Tucson, Arizona, United States of America.
⁴ CyVerse, University of Arizona, Tucson, Arizona, United States of America.
⁵ Data Science Institute, University of Arizona, Tucson, Arizona, United States of America.
⁶ BIO5 Institute, University of Arizona, Tucson, Arizona, United States of America.
⁷ School of Plant Sciences, University of Arizona, Tucson, Arizona, United States of America.

Editorial

Alise Ponsero et al. PLoS Comput Biol. 2020.

. 2020 Oct 22;16(10):e1008226.

doi: 10.1371/journal.pcbi.1008226. eCollection 2020 Oct.

¹ Department of Biosystems Engineering, University of Arizona, Tucson, Arizona, United States of America.
² School of Information, University of Arizona, Tucson, Arizona, United States of America.
³ Department of Computer Science, University of Arizona, Tucson, Arizona, United States of America.
⁴ CyVerse, University of Arizona, Tucson, Arizona, United States of America.
⁵ Data Science Institute, University of Arizona, Tucson, Arizona, United States of America.
⁶ BIO5 Institute, University of Arizona, Tucson, Arizona, United States of America.
⁷ School of Plant Sciences, University of Arizona, Tucson, Arizona, United States of America.

No abstract available

Conflict of interest statement

The authors have declared that no competing interests exist.

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