Event box
Tidy Up Your Data! Organizing and Naming Your Files for Success (Online)
What: Learn the community approved standardized way to organize data values within a dataset to make it easier to work with.
Why: Analysis-ready datasets have been responsibly collected and reviewed so that analysis of the data yields clear, consistent, and error-free results to the greatest extent possible. Tidy Data specifically has become the standard format for the sciences because it easily allows people to easily turn a data table into graphs, analysis and insight.
How: This is a free 1.5-hour online workshop, consisting of lecture, hands-on activity, and discussion. The webinar recording will be shared with all who register.
Where: Online via Zoom (link provided upon registration).
Who: This seminar is open to faculty, research staff, postdoctoral researchers, and students from all disciplines. There are no prerequisites or assumptions of knowledge. Online webinars are open to the public research community.
Instructor: Julie Goldman, BS, MLIS, Research Data Services Librarian, Countway Library
Join your peers to meet new people and learn new skills in a welcoming and encouraging environment!
Registration is required and opens at 12:30pm Thursday, April 2, 2026.
Add to: Google Calendar Other calendar (.ics)
Spring 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.
Event Organizer
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!
