This repository contains some of the lesson materials used as part of our Open Science Framework brownbag presentation. Other materials are contained in the corresponding OSF repository.
By the end of this lesson, learners should be able to:
- Describe key features of open science
- Discuss the phenomenon of the so-called replication "crisis"
- Descibe how the Open Science Framework helps researchers produce more open research products
- The lesson slides provide an overview of the replication crisis and what open science entails.
- Baker, Monya. 2016. "1,500 scientists lift the lid on reproducibility." Nature 533(7604). (Link)
- Gertler, Paul, Sebastian Galiani and Mauricio Romero. 2018. "How to make replication the norm." Nature 554:417-419. (Link)
- Woelfle, Michael, Piero Olliaro, and Matthew H. Todd. 2011. "". Nature Chemistry 3:745–748. (Link)
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The SLU Data Science Seminar (DSS) is a collaborative, interdisciplinary group at Saint Louis University focused on building researchers’ data science skills using open source software. We currently host seminars focused on the programming language R. The SLU DSS is co-organized by Christina Gacia, Ph.D., Kelly Lovejoy, Ph.D., and Christopher Prener, Ph.D.. You can keep up with us here on GitHub, on our website, and on Twitter.
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