There are many actions researchers can take to increase the openness and reproducibility of their work. Please join us for a workshop, led by the Center for Open Science, to learn how to incorporate these into your own work. The workshop will be hands-on. Using example studies, attendees will participate in creating a reproducible project from start to finish. Topics will include: Project documentation, Version control, Pre-Analysis plans, and Open source tools to easily implement these concepts in a scientific workflow.
This workshop is aimed at graduate students and post docs, across disciplines, who are engaged in quantitative research. The workshop does not require any specialized knowledge of programming. Participants will gain a foundation for incorporating reproducible, transparent practices into their current workflows.