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
- Teacher: Sarah Huber
- Teacher: Shahira Khair
- Teacher: Drew Leske