This workshop focuses on the importance of reporting data analyses in a reproducible manner. Reproducible research ensures that researchers think thoroughly through each step of the research process, and also ensures that other researchers can replicate findings at any point in the future. During this workshop, we will cover topics related to data and file organization and management, how to determine the reproducibility of a project, and how to write up reproducible code, analyses, and results.
Sara Gottlieb-Cohen is the Manager of Statistical Support Services at Yale University. She holds expertise in experimental design and analysis, and has taught data analysis and statistics at the undergraduate and graduate level.