raising better scientists - github...
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Mine Çetinkaya-Rundel Department of Statistical Science Duke University Duke Tech Expo 2015
Raising better scientists by teaching reproducibility as part of teaching data analysis
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#1: Convince researchers to adopt a reproducible research workflow
#2: Train new researchers who don’t have any other workflow
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reproducibility often comes up in the context of published research and the need to accompany such research with the complete data and analyses, including software/code
statistics educators who teach data analysis should be instilling best practices in students before they set out to do research
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traditional
data analysis
- descriptive stats - plots & tables - model output
write-up- research question & context - interpretations - conclusions
lab report
copy-paste copy-paste
a better approach
text block
data analysis
text block
data analysis
- code & output tightly connected - easy to reproduce & update - easy to collaborate - standardized format - faster
- must learn syntax - must be immaculate to compile
👍 👎
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instills early the idea that all analysis must be done in a reproducible framework
eases collaboration on labs and projects
removes ambiguity from grading
reproducible science …
and better teaching