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Ten simple rules to cultivate belonging in collaborative data science research teams.
Gaynor, Kaitlyn M; Azevedo, Therese; Boyajian, Clarissa; Brun, Julien; Budden, Amber E; Cole, Allie; Csik, Samantha; DeCesaro, Joe; Do-Linh, Halina; Dudney, Joan; Galaz García, Carmen; Leonard, Scout; Lyon, Nicholas J; Marks, Althea; Parish, Julia; Phillips, Alexandra A; Scarborough, Courtney; Smith, Joshua; Thompson, Marcus; Vargas Poulsen, Camila; Fong, Caitlin R.
Afiliação
  • Gaynor KM; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Azevedo T; Departments of Zoology and Botany, University of British Columbia, Vancouver, British Columbia, Canada.
  • Boyajian C; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Brun J; Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Budden AE; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Cole A; Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Csik S; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • DeCesaro J; Main Library, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Do-Linh H; Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Dudney J; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Galaz García C; Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Leonard S; Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Lyon NJ; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Marks A; Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Parish J; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Phillips AA; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Scarborough C; Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Smith J; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Thompson M; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Vargas Poulsen C; Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, California, United States of America.
  • Fong CR; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, California, United States of America.
PLoS Comput Biol ; 18(11): e1010567, 2022 11.
Article em En | MEDLINE | ID: mdl-36327241

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ciência / Ciência de Dados Idioma: En Revista: PLoS Comput Biol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ciência / Ciência de Dados Idioma: En Revista: PLoS Comput Biol Ano de publicação: 2022 Tipo de documento: Article