Please join us for a day-long workshop hosted by the Center for Open Science to learn the many simple actions researchers can take to increase the reproducibility of their work. The workshop will be hands-on and is aimed at graduate students, postdocs, and faculty engaged in research. No knowledge of programming or other specialized tools is required.
 
Morning topics:
          *   Project documentation
          *   Version control
                *   Preregistration
                *   Open source tools like the Center for Open Science’s Open Science Framework to easily implement these concepts in a scientific workflow
 
Afternoon topics:
          *   Build structures to support complex workflows
          *   Tie projects together across studies and teams
                *   Design for long term reuse and replication
                *   Incorporate privacy protections and IRB concerns

In the morning session participants will gain a foundation for incorporating reproducible, transparent practices into their current workflows by creating a reproducible project from start to finish. The afternoon session will build on this foundation by examining case studies and designing appropriate open workflows for each situation.
 
Speaker: Ian Sullivan