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Comparing NVivo vs MAXQDA In-Person
- What: As an NVivo user, come see what the similarities and differences are between NVivo and MAXQDA, two qualitative data management and analysis tools.
- Why: Learning how they compare will allow you to make an informed choice about which tool would be best for your research.
- Software: This is not a hands-on workshop, but if you want to explore these tools on your own, faculty, staff, and students at the University of Toronto can get a free license key for both NVivo and MAXQDA. You can also use both tools in the Robarts Library 4th floor computer lab and the Map & Data Library (MDL) data lab on the 5th floor.
- Who: This workshop is primarily designed for NVivo users who are new to MAXQDA.
- When: Monday, Sept. 28, 2026, 2-4pm
- Where: MDL Data Lab, 5th floor of Robarts Library (Room 5031)
- How: This is a 2-hour in-person session, consisting of lecture and demonstrations, highlighting key similarities and differences between the two tools. There will be ample time for questions. Note that this is NOT a hands-on workshop. If you would like hands-on training on using either tool, come to our other NVivo and MAXQDA workshops.
- Code of Conduct: Map & Data Library (MDL) workshops are a welcoming and inclusive environment for learning. To learn more, check out our Code of Conduct.
- Accessibility: The MDL is committed to making our workshops accessible to everyone. If you require an accommodation to fully participate in the workshop, please contact Kelly Schultz (kelly.schultz@utoronto.ca) to discuss options.
- Complementary Learning Materials: Check out our Getting Started Guides for NVivo and MAXQDA for more learning materials.
- Date:
- Monday, September 28, 2026
- Time:
- 2:00pm - 4:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Map & Data Library
- Campus:
- St. George (Downtown) Campus
- Audience:
- Faculty Graduate Students Staff Undergraduate Students
- Categories:
- Data & Statistics Digital Tools Programming & Software Workshop
Registration has closed.
Kelly Schultz
Kelly Schultz (she/her) is a Data Librarian at the Map & Data Library. She has a BASc (Computer Engineering) and a MI, both from UofT.
She supports Data Visualization; Qualitative Data Analysis; Data Cleaning; Network Visualization and Analysis.
Map & Data Library
