UC San Francisco and The Atlantic have announced that the COVID Tracking Project, a crowdsourced digital archive documenting the face of the pandemic in the United States, will become part of the University’s permanent library collection and is accessible to researchers and the public.
The project was a 15-month endeavor, powered by volunteers, to catalog statistics throughout the U.S. related to the pandemic in the face of limited data amid an urgent need to better understand the pandemic and protect the public.
“The Atlantic COVID Tracking Project is an inspiring example of a citizen crowdsourcing initiative that enabled democratization and transparency of science communications for the benefit of society,” said Polina Ilieva, Associate University Librarian for Collections, who oversees Archives and Special Collections kept by the University.
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The project was originally conceived as a short-term undertaking, but quickly became an important source of information for journalists and health researchers. It is a vital part of the UCSF COVID-19 archival collection, said Ilieva, and will augment official university records from that time period.
In addition, she said, the collection inspires a reimagining of the preservation of history. “This project provides impetus for developing tools and new approaches for archiving collections, comprising diverse formats from instant messages to source code to emails as well as data sets,” Ilieva said.
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area.
He earned his MLIS degree from Wayne State University in Detroit.
Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.
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