Ten simple rules to cultivate transdisciplinary collaboration in data science

Detalles Bibliográficos
Autores principales: Sahneh, Faryad, Balk, Meghan A., Kisley, Marina, Chan, Chi-kwan, Fox, Mercury, Nord, Brian, Lyons, Eric, Swetnam, Tyson, Huppenkothen, Daniela, Sutherland, Will, Walls, Ramona L., Quinn, Daven P., Tarin, Tonantzin, LeBauer, David, Ribes, David, Birnie, Dunbar P., Lushbough, Carol, Carr, Eric, Nearing, Grey, Fischer, Jeremy, Tyle, Kevin, Carrasco, Luis, Lang, Meagan, Rose, Peter W., Rushforth, Richard R., Roy, Samapriya, Matheson, Thomas, Lee, Tina, Brown, C. Titus, Teal, Tracy K., Papeș, Monica, Kobourov, Stephen, Merchant, Nirav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Editorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8118297/
https://www.ncbi.nlm.nih.gov/pubmed/33983959
http://dx.doi.org/10.1371/journal.pcbi.1008879

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