Original language | English (US) |
---|---|
Article number | e1008879 |
Journal | PLoS computational biology |
Volume | 17 |
Issue number | 5 |
DOIs | |
State | Published - May 2021 |
Externally published | Yes |
ASJC Scopus subject areas
- Ecology, Evolution, Behavior and Systematics
- Ecology
- Modeling and Simulation
- Molecular Biology
- Genetics
- Cellular and Molecular Neuroscience
- Computational Theory and Mathematics
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Ten simple rules to cultivate transdisciplinary collaboration in data science. / 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.; Papes, Monica; Kobourov, Stephen; Merchant, Nirav.
In: PLoS computational biology, Vol. 17, No. 5, e1008879, 05.2021.Research output: Contribution to journal › Review article › peer-review
}
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
VL - 17
JO - PLoS Computational Biology
JF - PLoS Computational Biology
SN - 1553-734X
IS - 5
M1 - e1008879
ER -