Have you ever tried to run someone else’s code and it just didn’t work? Have you ever been lost interpreting your colleague’s data? This hands-on session will provide researchers with tools and techniques to make their research process more transparent and reusable in remote computing environments. You’ll be using platforms like JupyterHub and command-line tools like Bash and Docker in a Linux environment to interact with the material through various exercises and examples. In this workshop, you’ll learn about: organizing your file directories writing readable metadata with README files automating your workflow with scripts capture and share your computational environment Level: Introductory Length: 3 hours Format: Lecture + Hands-on Prerequisites: Initial familiarity with command line tools and/or a Linux environment may be beneficial but not mandatory (part of the 2024 Compute Ontario Summer School)