Make your research computationally reproducible

What do we mean by reproducible or replicable research? What are some ways that you can make your own research computationally reproducible and sharable? This workshop will introduce a reproducible research pipeline that connects data collection, analysis, visualization, and presentation, using tools and platforms including R, Python, Docker, Binder, GitHub, Open Science Framework, and Zenodo. Attendees will gain familiarity with strategies and tools to document, manage and share your work to facilitate reproducible research. This workshop is appropriate for any researchers who are interested in applying these tools and strategies to their research.

Register here: https://libcal.mit.edu/calendar/events/repro