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DTSTART:20250923T210000Z
DTEND:20250923T220000Z
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SUMMARY:Bay Area Open Science Group - Rescuing Federal Research Data
DESCRIPTION:\n\nThis 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.\n\n \n\n\n\nThe 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.\n\n \n\n\nUCSF welcomes all participants to our events. If 
 you need a reasonable accommodation to participate in this event because of 
 a disability\, please contact Ariel Deardorff at ariel.deardorff@ucsf.edu 
 as soon as possible.\n\n\n\n\nRegister for this event via Zoom \n\n \n\n
LOCATION:Online
ORGANIZER;CN="Ariel Deardorff":MAILTO:ariel.deardorff@ucsf.edu
CATEGORIES:Data Science, Scholarly Communication
CONTACT;CN="Ariel Deardorff":MAILTO:ariel.deardorff@ucsf.edu
STATUS:CONFIRMED
UID:LibCal-14998299
URL:https://calendars.library.ucsf.edu/event/14998299
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