Data Discussions: Let's Create Standard Operating Procedures 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 "Standard Operating Procedures."
Why: Learn how to create clear, consistent expectations for collecting, organizing, and storing data across your lab or project. These practices reduce errors, save time, and make collaboration easier while keeping your data trustworthy over the long term.
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, April 1, 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
Spring Data Discussions: Let’s Talk Data Series
- February 4 - Let's Talk Data Management
- March 4 - Let's Talk Metadata
- April 1 - Let's Create Standard Operating Procedures
- May 13 - Let's Version Your Data
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!