Data For the Public Good - A Health Datathon In-Person
What: Join Countway librarians, members of the Public Environmental Data Partners, and fellow data enthusiasts to capture and preserve our public health care data in the Climate and Health Research Coordinating Center Harvard Dataverse Collection. Celebrate Open Access Week by ensuring access to federal environmental data.
Why: Health data is crucial to our work and our everyday lives. It is important that this invaluable public data is maintained and kept available in its true unaltered form for us now and in the future.
How: This is an open, three-hour pop-in event where we will chat about the importance of data preservation and good data management, then pivot to capturing crucial public health information, reports, and datasets for preservation in Harvard Dataverse. No data science skills are needed! Join when you can, for as long as you can (and yes, we will have snacks).
Where: Classrooms 102 and 103 on the First Floor of Countway Library.
Who: This event is open to all Harvard students, postdocs, researchers, faculty, and staff, as well as the larger concerned public health community.
Instructors: Countway Librarians and members of the Public Environmental Data Partners
- Date:
- Monday, October 20, 2025
- Time:
- 2:00pm - 5:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Countway Floor 1: Room 102
- Campus Location:
- Harvard Longwood Campus
- Categories:
- Data Management Events Records Management
Join Harvard Library in celebrating International Open Access Week 2025, October 20-26!
International Open Access Week, held each year in October, is an opportunity for academic and research communities around the world to learn more about the benefits of open access!
The 2025 Open Access Week theme asks, “Who Owns Our Knowledge?” Harvard Library will host events and offer materials that explore how, “in a time of disruption, communities can reassert control over the knowledge they produce.”
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!
