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The Open Science Framework: Increasing Reproducibility Across the Entire Research Lifecycle
Over the past few years there has been a growing movement to make data and code openly available to increase the reproducibility of scientific research. While these steps are important, they leave out information about how research questions, hypotheses, and analytical decisions may have changed over time. This type of information can have important implications for the reproducibility and interpretation of scientific findings. This webinar will discuss how different points in the research lifecycle can affect reproducibility and why tracking how research evolves over time is important for reproducibility. The webinar will also introduce the Open Science Framework, a free, open source webtool designed by the Center for Open Science to help researchers manage, document, and share their entire research lifecycle.
Courtney Soderberg is the Statistical and Methodological Consultant at the Center for Open Science where she heads their training programs for reproducible research methods and statistics. She has a Ph.D. in Experimental Social Psychology with a minor in Quantitative Psychology from UC Davis.