Ten simple rules to cultivate transdisciplinary collaboration in data science

Autor: Dunbar P. Birnie, Tracy K. Teal, Ramona Walls, Eric Lyons, C. Titus Brown, Carol Lushbough, Samapriya Roy, Daven P. Quinn, David Ribes, Meagan Lang, David Shaner LeBauer, Stephen G. Kobourov, Daniela Huppenkothen, Mercury Fox, Grey Nearing, Jeremy Fischer, Will Sutherland, Peter W. Rose, Thomas Matheson, Richard Rushforth, Tyson L. Swetnam, Kevin R. Tyle, Tonantzin Tarin, Brian Nord, Chi-kwan Chan, Meghan A. Balk, Monica Papeş, Tina Lee, Eric A. Carr, Nirav Merchant, Luis Carrasco, Marina Kisley, Faryad Darabi Sahneh
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Science and Technology Workforce
Computer and Information Sciences
Science Policy
Computer science
QH301-705.5
MEDLINE
Social Sciences
Careers in Research
Research and Analysis Methods
Research Ethics
Education
Computer Software
Human Learning
Cellular and Molecular Neuroscience
Learning and Memory
Sociology
Simple (abstract algebra)
Genetics
Learning
Psychology
Biology (General)
Molecular Biology
Research Integrity
Ecology
Evolution
Behavior and Systematics
Data Management
Ecology
Cognitive Psychology
Biology and Life Sciences
Software Engineering
Research Assessment
Data science
Reproducibility
Professions
Editorial
Computational Theory and Mathematics
Research Design
Modeling and Simulation
People and Places
Scientists
Cognitive Science
Engineering and Technology
Population Groupings
Workshops
Neuroscience
Zdroj: PLoS Computational Biology, Vol 17, Iss 5, p e1008879 (2021)
PLoS Computational Biology
ISSN: 1553-7358
Databáze: OpenAIRE
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