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Building Blocks for Reproducibility: Concepts and Practices

In response to a growing focus on the importance of reproducibility, replication, and transparency in the research endeavor, scholars are adapting their practices and learning new skills and tools. DVS is offering a workshop series that will introduce the concepts, practices and tools that will help increase the reproducibility of your work.

This workshop will introduce the concept of reproducibility, its impact on science, and basic best practices that you can apply to make your work more transparent and reproducible. The workshop will be taught by a guest instructor, April Clyburne-Sherin, from Code Ocean. The general functionalities of the computational reproducibility platform Code Ocean will also be presented during the workshop. 

This workshop is eligible for 2 hours of RCR credits. 

Tuesday, September 11, 2018
10:00am - 12:00pm
Bostock 023 Training Room
West Campus
Data and Visualization  
Registration has closed.

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Center for Data and Visualization Sciences