Best Practices for Creating Charts and Graphs Online
What: This workshop will cover key design principles you should consider when planning data visualizations -- from choosing the optimal chart or graph type for your data to the effective use of color, text, and annotations.
Why: Creating clear and interpretable data visualizations reduces the risk of misinterpretation, highlights true patterns, and allows others to reliably evaluate, replicate, and build on your findings.
How: This is a free 1 hour webinar.
Where: Online via Zoom (link provided upon registration).
Who: This seminar is open to all Harvard affiliates from all disciplines, and the public research community. There are no prerequisites or assumptions of knowledge.
Instructor: Jess Cohen-Tanugi, Visualization Specialist, Harvard Library
Bring your data visualization questions, and join your peers to meet new people and learn new skills in a welcoming and encouraging environment!
- Date:
- Wednesday, June 24, 2026
- Time:
- 12:00pm - 1:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Categories:
- Classes Data Management > RDM Seminar Series
Summer 2026 Research Data Management Seminar Series
Seminar Audience
- Seminars are free and open to all faculty, research staff, postdoctoral researchers, and students from all disciplines.
- In-person workshops are open to Harvard University ID holders only.
- Online webinars are open to the public research community.
- While content will focus on Harvard policies and resources, participants from other institutions may find the concepts useful.
Seminar Accessibility
- Harvard Library is committed to making our workshops accessible to everyone.
- If you require an accommodation to fully participate in the workshop, please contact Julie Goldman to discuss options.
Need help with data management? Feel free to book a 30 minute meeting slot with me.
Happy to help with data organization, cleaning, and sharing for fostering reproducible workflows and open science!