Ten simple rules to cultivate transdisciplinary collaboration in data science

Faryad Sahneh; Meghan A. Balk; Marina Kisley; Chi Kwan Chan; Mercury Fox; Brian Nord; Eric Lyons; Tyson Swetnam; Daniela Huppenkothen; Will Sutherland; Ramona L. Walls; Daven P. Quinn; Tonantzin Tarin; David LeBauer; David Ribes; Dunbar P. Birnie; Carol Lushbough; Eric Carr; Grey Nearing; Jeremy Fischer; Kevin Tyle; Luis Carrasco; Meagan Lang; Peter W. Rose; Richard R. Rushforth; Samapriya Roy; Thomas Matheson; Tina Lee; C. Titus Brown; Tracy K. Teal; Monica Papes; Stephen Kobourov; Nirav Merchant

doi:10.1371/journal.pcbi.1008879

Ten simple rules to cultivate transdisciplinary collaboration in data science

Faryad Sahneh, Meghan A. Balk, Marina Kisley, Chi Kwan Chan, Mercury Fox, Brian Nord, Eric Lyons, Tyson Swetnam, Daniela Huppenkothen, Will Sutherland, Ramona L. Walls, Daven P. Quinn, Tonantzin Tarin, David LeBauer, David Ribes, Dunbar P. Birnie, Carol Lushbough, Eric Carr, Grey Nearing, Jeremy FischerKevin Tyle, Luis Carrasco, Meagan Lang, Peter W. Rose, Richard R. Rushforth, Samapriya Roy, Thomas Matheson, Tina Lee, C. Titus Brown, Tracy K. Teal, Monica Papes, Stephen Kobourov, Nirav Merchant

National Center for Supercomputing Applications (NCSA)

Research output: Contribution to journal › Review article › peer-review

Original language	English (US)
Article number	e1008879
Journal	PLoS computational biology
Volume	17
Issue number	5
DOIs	https://doi.org/10.1371/journal.pcbi.1008879
State	Published - May 2021

ASJC Scopus subject areas

Ecology, Evolution, Behavior and Systematics
Ecology
Modeling and Simulation
Molecular Biology
Genetics
Cellular and Molecular Neuroscience
Computational Theory and Mathematics

Online availability

10.1371/journal.pcbi.1008879

Library availability

Discover UIUC Full Text

Cite this

Sahneh, F., Balk, M. A., Kisley, M., Chan, C. K., Fox, M., Nord, B., Lyons, E., Swetnam, T., Huppenkothen, D., Sutherland, W., Walls, R. L., Quinn, D. P., Tarin, T., LeBauer, D., Ribes, D., Birnie, D. P., Lushbough, C., Carr, E., Nearing, G., ... Merchant, N. (2021). Ten simple rules to cultivate transdisciplinary collaboration in data science. PLoS computational biology, 17(5), Article e1008879. https://doi.org/10.1371/journal.pcbi.1008879

Sahneh, F, Balk, MA, Kisley, M, Chan, CK, Fox, M, Nord, B, Lyons, E, Swetnam, T, Huppenkothen, D, Sutherland, W, Walls, RL, Quinn, DP, Tarin, T, LeBauer, D, Ribes, D, Birnie, DP, Lushbough, C, Carr, E, Nearing, G, Fischer, J, Tyle, K, Carrasco, L, Lang, M, Rose, PW, Rushforth, RR, Roy, S, Matheson, T, Lee, T, Brown, CT, Teal, TK, Papes, M, Kobourov, S & Merchant, N 2021, 'Ten simple rules to cultivate transdisciplinary collaboration in data science', PLoS computational biology, vol. 17, no. 5, e1008879. https://doi.org/10.1371/journal.pcbi.1008879

@article{edc6f0730c9b4c098cd150930164a41f,

title = "Ten simple rules to cultivate transdisciplinary collaboration in data science",

author = "Faryad Sahneh and Balk, {Meghan A.} and Marina Kisley and Chan, {Chi Kwan} and Mercury Fox and Brian Nord and Eric Lyons and Tyson Swetnam and Daniela Huppenkothen and Will Sutherland and Walls, {Ramona L.} and Quinn, {Daven P.} and Tonantzin Tarin and David LeBauer and David Ribes and Birnie, {Dunbar P.} and Carol Lushbough and Eric Carr and Grey Nearing and Jeremy Fischer and Kevin Tyle and Luis Carrasco and Meagan Lang and Rose, {Peter W.} and Rushforth, {Richard R.} and Samapriya Roy and Thomas Matheson and Tina Lee and Brown, {C. Titus} and Teal, {Tracy K.} and Monica Papes and Stephen Kobourov and Nirav Merchant",

note = "Funding Information: FS, MP, SK, NM received funding from the National Science Foundation under the grant #1839307 (TRIPODS+X:VIS: Data Science Pathways for a Vibrant TRIPODS Commons at Scale). MP, EC, LC received funding from NIMBioS, supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",

year = "2021",

month = may,

doi = "10.1371/journal.pcbi.1008879",

language = "English (US)",

volume = "17",

journal = "PLoS computational biology",

issn = "1553-734X",

publisher = "Public Library of Science",

number = "5",

}

TY - JOUR

T1 - Ten simple rules to cultivate transdisciplinary collaboration in data science

AU - Sahneh, Faryad

AU - Balk, Meghan A.

AU - Kisley, Marina

AU - Chan, Chi Kwan

AU - Fox, Mercury

AU - Nord, Brian

AU - Lyons, Eric

AU - Swetnam, Tyson

AU - Huppenkothen, Daniela

AU - Sutherland, Will

AU - Walls, Ramona L.

AU - Quinn, Daven P.

AU - Tarin, Tonantzin

AU - LeBauer, David

AU - Ribes, David

AU - Birnie, Dunbar P.

AU - Lushbough, Carol

AU - Carr, Eric

AU - Nearing, Grey

AU - Fischer, Jeremy

AU - Tyle, Kevin

AU - Carrasco, Luis

AU - Lang, Meagan

AU - Rose, Peter W.

AU - Rushforth, Richard R.

AU - Roy, Samapriya

AU - Matheson, Thomas

AU - Lee, Tina

AU - Brown, C. Titus

AU - Teal, Tracy K.

AU - Papes, Monica

AU - Kobourov, Stephen

AU - Merchant, Nirav

N1 - Funding Information: FS, MP, SK, NM received funding from the National Science Foundation under the grant #1839307 (TRIPODS+X:VIS: Data Science Pathways for a Vibrant TRIPODS Commons at Scale). MP, EC, LC received funding from NIMBioS, supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

PY - 2021/5

Y1 - 2021/5

UR - http://www.scopus.com/inward/record.url?scp=85105903811&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85105903811&partnerID=8YFLogxK

U2 - 10.1371/journal.pcbi.1008879

DO - 10.1371/journal.pcbi.1008879

M3 - Review article

C2 - 33983959

AN - SCOPUS:85105903811

SN - 1553-734X

VL - 17

JO - PLoS computational biology

JF - PLoS computational biology

IS - 5

M1 - e1008879

ER -

Ten simple rules to cultivate transdisciplinary collaboration in data science

ASJC Scopus subject areas

Online availability

Library availability

Related links

Cite this