Data Discussions: Let's Talk Open Science Framework Online
What: The "Data Discussions: Let’s Talk Data!" lunch-time 30 minute webinars are your quick and easy way to learn key data management practices. This session focuses on the Open Science Framework.
Why: Open data promotes transparency and reproducibility by allowing others to access, verify, and build upon research findings. Open Science Framework is phasing out Project Workflows and storage in early 2027. Therefore, you may need to transition to alternative generalist repositories and tools depending on your workflow needs. Let's talk about it!
How: This is a free 30 minute webinar, consisting of a short lecture and discussion.
Where: Online via Zoom (link provided upon registration)
Who: This discussion is open to all. You may want to review previous "Let's Talk Data!" topics.
Instructor: Julie Goldman, BS, MLIS, Research Data Services Librarian, Countway Library
Come learn, ask questions, and discuss this data topic with experts and colleagues.
- Date:
- Wednesday, October 21, 2026
- Time:
- 12:00pm - 12:30pm
- 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 Data Discussion Records Management
Fall Data Discussions: Let’s Talk Data Series
- September 16 - Let's Talk Data Services @Harvard
- October 21 - Let's Talk Open Science Framework
- November 4 - Let's Talk Data Privacy
- December 9 - Let's Talk Research Notebooks
Webinar Audience
- Lunch time webinars are free and open to all faculty, research staff, postdoctoral researchers, and students from all disciplines.
- While content will focus on Harvard policies and resources, participants from other institutions may find the concepts useful.
Webinar Accessibility
- Harvard Library is committed to making our workshops accessible to everyone.
- If you require an accommodation to fully participate in the discussion, 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!