Good Enough Practices in Scientific Computing
2016/08/31 by Greg Wilson, Wilson, Greg, Jennifer Bryan +9 · 7 voices · 11 citations
#cs.SE
paper · pdf · doi:10.48550/arxiv.1609.00037
Abstract
We present a set of computing tools and techniques that every researcher can and should adopt. These recommendations synthesize inspiration from our own work, from the experiences of the thousands of people who have taken part in Software Carpentry and Data Carpentry workshops over the past six years, and from a variety of other guides. Unlike some other guides, our recommendations are aimed specifically at people who are new to research computing.
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Discussions
- Good Enough Practices in Scientific Computing [hn, 143 points, 20 comments]
- I first read “Good Enough Practices in Scientific Computing” probably seven years ago now. Still so impactful - not just the recommendations but the permission structure of “good enough” which I just [bsky, 9 points, 0 comments]
- Good Enough Practices in Scientific Computing [hn, 2 points, 0 comments]
- Forget best practices in scientific computing. Here are some "good enough" practices: http://arxiv.org/abs/1609.00037 @swcarpentry #worksmarter [bsky, 0 points, 0 comments]
- "good enough" data management and coding practices: http://arxiv.org/abs/1609.00037 actually pretty good! #data #statistics #Rstats #computing [bsky, 0 points, 0 comments]
- 8. Good Enough Practices in Scientific Computing arxiv.org/abs/1609.00037 [bsky, 0 points, 1 comments]
- It's not “a big deal,” but it's essential to understand and apply in the field of open science: arxiv.org/pdf/1609.00037 (backin' 2016 ! :=) [bsky, 0 points, 0 comments]
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