Best Practices for Scientific Computing

Wilson, Greg; Aruliah, D. A.; Brown, C. Titus; Hong, Neil Chue; Davis, M. Ryleigh; Guy, Richard; Haddock, Steven H. D.; Huff, Kathryn; Mitchell, Ian M.; Plumbley, Mark D.; Waugh, B. M.; White, Ethan P.; Wilson, Paul

doi:10.1371/journal.pbio.1001745

articlePLoS BiologyJan 7, 2014GOLD OA

Best Practices for Scientific Computing

GWGreg Wilson DAD. A. Aruliah CTC. Titus Brown NCNeil Chue Hong MRM. Ryleigh Davis

Ontario Tech University · Michigan United · +11 more institutions

PubMed

Indexed inarxivcrossrefdoajpubmed

Abstract

: We describe a set of best practices for scientific software development, based on research and experience, that will improve scientists' productivity and the reliability of their software.

Citation impact

712

total citations

FWCI: 191.44
Percentile: 100%
References: 76

Citations per year

Authors

GW
Greg WilsonCorresponding
DA
D. A. Aruliah
Ontario Tech University
CT
C. Titus Brown
Michigan United, Michigan State University
NC
Neil Chue Hong
Software Sustainability Institute
MR
M. Ryleigh Davis
Space Telescope Science Institute

Topics & keywords

Topics

Scientific Computing and Data Management100%
Distributed and Parallel Computing Systems96%
Data Visualization and Analytics96%

Keywords

Best practice
Software
Set (abstract data type)
Biology
Productivity
Software development
Data science
Software engineering

UN Sustainable Development Goals

Decent work and economic growth

No related works found for this paper.

Funding

NS
National Science Foundation
Awards: 0953694, CAREER, EP/H043160/1
AP
Alfred P. Sloan Foundation
NS
Natural Sciences and Engineering Research Council of Canada
EA
Engineering and Physical Sciences Research Council
Awards: EP/H043160/1, EP/H043101/1, EP/G007144/1, EP/H043101/1, EP/G007144/1, EP/H043160/1