Much of modern research involves software (eg, analysis pipelines, data cleaning, simulation, figure generation and reporting). So becoming more proficient at building research software will pay off quickly. Your work becomes easier to reproduce, easier to review, and easier to maintain as projects (and teams) evolve.
This session is a homegrown UW–Madison initiative, run by campus research computing/data science folks who work with researchers every day. We are also running this pilot in collaboration with The Carpentries, a nonprofit that teaches foundational coding and data science skills to researchers through hands-on, volunteer-led workshops.
Details
- What: Building Better Research Software in R
- When: Mar 30 to Apr 2, 9am to 1pm
- Where: Discovery Building; 330 N Orchard St, Madison
- Register for the workshop
What you’ll learn
This workshop focuses on practical “next steps” for software development as a researcher:
- Project structure
- Reproducible environments
- Testing
- Documentation
- Collaborating effectively
Quick notes
- Please bring a laptop (Mac/Linux/Windows) with admin privileges. We ask that you complete the short setup beforehand. Instructions can be found at the bottom of the registration page.
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