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Rescuing Federal Research Data (Bay Area Open Science Group September Meeting)

Rescuing Federal Research Data

Zoom information + registration

  • This month Yea-Hung Chen and Ariel Deardorff from UCSF will present on efforts to safeguard disappearing government data. Since early 2025 several federal research datasets have been altered or deleted in response to executive orders from the White House. These actions have raised significant concerns about the accessibility and integrity of government data. For example, in February, several datasets from the US Census Bureau suddenly became unavailable, and others from the CDC were removed and then later restored. In this presentation, we will explore the latest developments in data censorship and the current efforts to rescue and preserve government datasets. You’ll learn about the organizations that have worked to preserve data, alternative sources of government data, and how you can get involved to protect valuable public information.

Bay Area Open Science Group

The Bay Area Open Science Group is a growing community for Bay Area academics and researchers interested in incorporating open science into their research, teaching, and learning. Targeting students, faculty, and staff at UCSF, Berkeley, and Stanford, the goal of the community is to increase awareness of and engagement with all things open science, including open access articles, open research data, open source software, and open educational resources. Through this work the group hopes to connect researchers with tools they can use to make the products and process of science more equitable and reproducible.

Meetings:

We meet on the 4th Tuesday of the month, 2 - 3 PM Pacific on Zoom. 

All are welcome to attend and join the conversation!

Contact:

Interested in joining the group or learning about future events?

Join the discussion on our Slack Channel or email Sam Teplitzky (samteplitzky@berkeley.edu).

Related LibGuide: Open Science by Sam Teplitzky

Date:
Tuesday, September 23, 2025
Time:
2:00pm - 3:00pm
Categories:
Data & Digital   Sciences  

Host/Presenter(s)

Profile photo of Sam Teplitzky
Sam Teplitzky

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