Shannon and Briana discuss the article “Promoting and Enabling Reproducible Data Science Through a Reproducibility Challenge” published in the Harvard Data Science Review. They provide a brief rundown of how the authors ran their reproducibility challenge, what lessons they learned from the challenge participants, and their arguments for why universities—their data science centers and research support units—have a critical role to play in promoting “actionable reproducibility."
Article Citation: Liu, J., Carlson, J., Pasek, J., Puchala, B., Rao, A., & Jagadish, H. V. (2022). Promoting and Enabling Reproducible Data Science Through a Reproducibility Challenge. Harvard Data Science Review, 4(3). https://doi.org/10.1162/99608f92.9624ea51
Reproducibility Resources from MIDAS: https://midas.umich.edu/reproducibility-resources/
