Pre-conference workshops offered hands-on technical training for attendees. Sessions ran in parallel morning and afternoon blocks, each led by experienced instructors. Participants received advance instructions tailored to their registered workshop.
9:00 – 12:00
Morning Session
- Collecting Data from Internet-Based Sources — Techniques and tools for harvesting web data for research purposes.
- Introduction to R — A hands-on introduction to the R statistical computing environment. Participants installed R and RStudio in advance.
- Data Management and Curation — Best practices for managing research data throughout its lifecycle.
13:00 – 16:00
Afternoon Session
- SHARE & the Open Science Framework — An exploration of the OSF platform and SHARE notification service for tracking research outputs. Held in Budig Hall, Room 10.
- Advanced Data Visualization — Techniques for creating compelling visual representations of complex datasets.
- Reproducible Research Workflows — Tools and practices for ensuring computational reproducibility in data-driven projects.
Participant Requirements
Workshop attendees were required to bring a fully functional laptop. Tablets and Chromebooks were not sufficient for most sessions. Specific software prerequisites varied by workshop; registered participants received detailed instructions from their instructor ahead of the conference.