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Biobyte 3 - Lab reports as reproducible research

Author(s): Sam S Donovan1, Drew LaMar2

1. University of Pittsburgh 2. College of William and Mary

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Summary:
This short activity introduces a discussion of reproducibility in scientific research and ways that we might address these ideas with undergraduates. There is an opportunity to use a prototype version of Serenity to explore BIRDD data.

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 14 Aug 2019 doi:10.25334/9MMK-JH89 - cite this

Keywords

  1. data science
  2. dsube

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Description

This 30 minute large group activity is designed to introduce reproducibility as an important and emerging practice in science. The group work takes advantage of a Shiny app called Serenity that runs in a browser, allows students to work with R based analysis and visualization tools, and submit their work as a reproducible package. This prototype activity is built around a Galapagos Finch morphological dataset with over 7,000 individuals that was published as part of the BIRDD Project. 

There is a discussion forum where you are encouraged to ask questions, share ideas for how to use these materials and make them better.

 

Notes

This is version 1 as presented at the 2019 BioQUEST / QUBES Summer Workshop titled, “Evolution of Data in the Classroom: From Data to Data Science”.

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