There are many actions researchers can take to increase the openness and reproducibility of their work.
Please join the Behavioral Insights Group for a workshop, hosted by the Center for Open Science , to learn easy, practical steps researchers can take to increase the reproducibility of their work. The workshop will be hands-on.
Using example studies, attendees will actively participate in creating a reproducible project from start to finish.
- Project documentation
- Version control
- PreAnalysis plans
- Open source tools like the Center for Open Science’s Open Science Framework to easily implement these concepts in a scientific workflow.
The workshop will also include a demo on how to use Harvard Dataverse to share, publish and archive your research data, and how the Open Science Framework is integrated with Harvard Dataverse.
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.
Speaker: April Clyburne-Sherin
April is the Reproducible Research Evangelist at the Center for Open Science and coheads their training programs for reproducible research methods. She has an MS in Epidemiology from the University of Guelph.
Members of the Dataverse team at the Institute for Quantitative Social Science (Sonia Barbosa, Gustavo Durand, and Danny Brooke) will lead the Harvard Dataverse demo and be available for questions.
Attendees will need to bring their own laptop in order to fully participate.
Please RVSP as space is limited.