Journal article
Switching Software in Science: Motivations, Challenges, and Solutions
Trends in cognitive sciences, Vol.23(4), pp.265-267
04/2019
DOI: 10.1016/j.tics.2019.01.004
PMID: 30712996
Abstract
A laboratory’s programming language has wide-ranging implications. As demands towards scientific programming change and languages evolve, investigators may look to change their existing software stack. Following up on a recent online debate, we discuss key considerations and challenges in choosing and changing languages and suggest solutions for investigators looking to switch.
Details
- Title: Subtitle
- Switching Software in Science: Motivations, Challenges, and Solutions
- Creators
- Jan R Wessel - Department of Psychological and Brain Sciences and Department of Neurology, University of Iowa, Iowa City, IA, USAKrzysztof J Gorgolewski - Department of Psychology, Stanford University, Stanford, CA, USAPierre Bellec - Centre de Recherche, Institut Universitaire de Gériatrie de Montréal, Université de Montréal, Montréal, QC, Canada
- Resource Type
- Journal article
- Publication Details
- Trends in cognitive sciences, Vol.23(4), pp.265-267
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.tics.2019.01.004
- PMID
- 30712996
- ISSN
- 1364-6613
- eISSN
- 1879-307X
- Language
- English
- Date published
- 04/2019
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Neurology; Psychological and Brain Sciences; Iowa Neuroscience Institute
- Record Identifier
- 9984002484202771
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