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CDVS Workshop: An Introduction to Reproducible Research Practices

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Thursday, September 29, 2022
10:00 am - 12:00 pm
Sophia Lafferty-Hess & John Little
Center for Data and Visualization Sciences Workshop Series

The importance of reproducibility, replication, and transparency in the research endeavor is increasingly discussed in academia. This workshop will introduce the concept of "reproducibility" and foundational strategies that can increase the reproducibility of your work particularly related to organization, documentation, literate coding techniques, version control, and archiving data and code for future access and use. We will also present a protocol, the TIER protocol, as a tool that graduate students or others can use that are first approaching reproducibility. This workshop will primarily be tool agnostic and instead focusing on the high level practices that can be applied across disciplines and workflows with representative examples. A follow-up workshop on October 6th, "Designing a Reproducible Workflow with R and Git," will present a specific workflow in practice.

Contact: Joel Herndon