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Category: Computational Research

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Why Web Archiving?: A Conversation with Web Archivists and Researchers

Posted by: Tracee Haupt

On May 23, the Library of Congress hosted “#WhyWebArchiving: Preserving Internet Content for Research Use,” a virtual event that brought together Library subject experts actively involved in building web archives with researchers that have utilized the Library’s web archives in their work. The event kicked-off the 2022 Web Archiving Conference, which the Library co-hosted with …

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An Introduction to Born Digital Collections at the Manuscript Division, or How to Cross the Equator

Posted by: Leah Weinryb-Grohsgal

The following guest post by Josh Levy, Historian of Science and Technology in the Library’s Manuscript Division, is part two of a series. You can find Part 1 of the series, “Doing History with Born Digital Files: the Rhoda Métraux and Edward Lorenz Papers,” posted on The Signal. Archives can’t just collect physical objects anymore. …

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Candidates, Campaigns, and CDX Files: A New United States Elections Web Archive Dataset

Posted by: Tracee Haupt

This blog post was co-authored by Chase Dooley (Senior Digital Collections Specialist) and Tracee Haupt (Digital Collections Specialist), members of the Library’s Web Archiving Team. The Library’s Web Archiving Team recently released a derivative dataset that describes the United States Elections Web Archive, a collection that preserves over twenty years of campaign websites for candidates …

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Computing Cultural Heritage in the Cloud: Expert Researchers Share Their Outcomes

Posted by: Olivia Dorsey

LC Labs’ Computing Cultural Heritage in the Cloud (CCHC) initiative explores pathways for the Library to deliver its digital collections at scale, using a cloud computing environment. You can read more in previous posts about the initiative. Earlier this year, LC Labs worked with three research fellows in digital history, digital art history, and software librarianship …

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It’s a bird, it’s a plane, it’s a…derivative dataset!

Posted by: Eileen J. Manchester

This post describes a collaboration between LC Labs member Eileen J. Manchester and Peter DeCraene, the Albert Einstein Distinguished Educator Fellow to answer the question: "what would it mean to treat a dataset as a primary source?"