Center for Open Science Workshop in KCMO June 1

April 12, 2017

Yesterday I posted about the Center for Open Science’s Pregistration Challenge where you could get $1000 for preregistering your research with them. What is the Center for Open Science, and what tools do they offer?  Come to a FREE FREE FREE workshop in KC June 1 and learn more. Registration required online at

The Center for Open Science ( will present this workshop in Kansas City, MO at the InterContinental on the Plaza on June 1 from 1:30PM to 4:30PM. The workshop is for faculty and graduate students to learn hands-on how to use the Open Science Framework in their research.

The Open Science Framework is an outstanding example of technology for transparency, openness and reproducibility of scientific research results.

Here’s a brief outline of the workshop:

There are many actions researchers can take to increase the openness and reproducibility of their work. The Center for Open Science will present easy, practical steps researchers can take to increase the reproducibility of their work in a hands on workshop. Using example studies, attendees will actively participate in creating a reproducible project from start to finish.

Topics covered:
Project documentation
Version control
Pre-Analysis plans
Open source tools like the Center for Open Science’s Open Science Framework to easily implement these concepts in a scientific workflow.

This workshop is aimed at graduate students and postdocs, 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.

Please feel free to circulate this information to colleagues in other departments or other universities. We want to fill the place up!

Center for Open Science is a non-profit organization that is funded by the National Science Foundation, National Institutes of Health, Sloan Foundation, DARPA and others to increase openness, integrity and reproducibility of research.