CMU Libraries provides training opportunities and resources on open practices, including workshops and modules on foundational concepts, tools for conducting open research, a train‑the‑trainer program, and direct support for open‑source coding and reproducible data science.
CMU Libraries Open Science Workshop Calendar
- 1-2 hour workshops on basic concepts, skills, and tools for conducting research in an open and reproducible manner, such as coding in Python and R or using GitHub.
Open Science Primer
- A train-the-trainer style program designed for academic librarians to meet the evolving Open Sciences needs and expectations of the research communities they support.
Open Data Science Workshops Curricula
- Workshop content organized around skills and tools for Open Data Science designed for asynchronous learning.
Data & Code Support and Related Resources
- Bookable appointments for open source coding languages and data science tools for anyone in the CMU community working on research, class projects, or simply learning a new skill.
How to Open: A Starter Kit for Open Research Canvas Modules
- Learning modules that offer an accessible and interactive introduction to the principles and practices of open and reproducible research. These modules are designed for students, instructors, and researchers to use as a stand-alone resource or as part of a course through Canvas.