Carpentries Instructors’ meeting
- Monday, October 6, 2025
- 9:00-10:00 AM
Present:
Brooks-Kieffer, Durham, Kisielinski, Sanderson
Agenda
- Reproducible Data Science workshop debrief
Discussions
Workshop debrief
The Reproducible Data Science workshop happened 9/29-10/03 in Price Computing Center auditorium.
What went well:
- Teaching was really good on all 3 days
- Breezed through Git and GitHub content, possibly due to small attendance
- The GitHub collaboration workflow content was really fun
What could change:
- Attendance was disappointing, especially the number of no-shows
- High registration from Engineering departments was interesting
- Price Auditorium:
- a kind of obscure location, might have contributed to lack of attendance
- the space being locked for two of the three days was annoying
- accessibility would have been a concern with larger attendance, only 1 accessible workspace
- 3 days was a lot; discussed ways to make the workshop shorter:
- Bash is important but felt extraneous; present Git with a prerequisite to review Bash in advance or offer a module in advance for those who need it?
- Tighten Git and GitHub into one day to help with attendance and clarity of messaging
Other thoughts:
- Watson CIC is preferred when it’s available
- Could we survey to get some insight from people who registered but didn’t attend?
- Learners need a good understanding of the file system to get comfortable with Bash and Git
- Git is most relevant for folks who are already working on projects since they’ve probably already encountered version issues
- Think about data management fundamentals and Bash as related because of file structure; use that as an “intro data science” topic with Git as more intermediate?
- Consider “project management” as part of a title for a different iteration? It’s a buzzy phrase that stands in as a qualification. Consider the Data Carpentry spreadsheet and OpenRefine lesson here, since the GUI is a little more friendly than command line.
Notes by JBK, posted by JBK