Code Sharing and Computational Reproducibility

Code is now fundamental to scientific discovery, yet the code supporting scientific work is still not consistently shared. When code is unavailable, findings cannot be fully verified, reused, or built upon. This creates challenges for computational reproducibility and the credibility of science more broadly. In this presentation, Dr. DuPre introduces core principles and best practices for code sharing, including: ✅ Practical approaches to organizing code ✅ Platforms for version control and collaboration ✅ Strategies for integrating code sharing into everyday research workflows ✅ Ways to support more transparent, reproducible, and trustworthy science