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Biobyte 4 - The role of data science principles and practices in undergraduate biology

Author(s): Sam S Donovan

University of Pittsburgh

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This short activity was an effort to launch a community conversation around the interface of data science principles and practices and undergraduate biology education. A variety of resources, communities, and projects are shared.

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

Version 1.0 - published on 15 Aug 2019 doi:10.25334/B3K4-7G59 - cite this


This 30 minute large group activity is designed to foster a discussion about the role of data science in undergraduate biology education. Some of the data science education collaborations that QUBES and BioQUEST have been part of are briefly introduced. Groups with a focus on genomics and bioinformatics include GEA, NIBLSE, Genome Solver, & GEP. Ecological groups include BEDE, DIG, ESA, NEON, & Data Nuggets. Specimen and museum data communities include BLUE & iDigBio. There is also South Big Data Hub & HITS. The message is that there is a lot going on in biology education with people looking at the opportunities provided by data science in a lot of different ways. Participants were asked to reflect on what they saw as the biggest challenges going forward and how they saw themselves participating. 

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



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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