LC LABS LETTER
News from the Library of Congress Labs Team
Announcing the LC Labs Data Sandbox
As readers may remember from the editor’s issue on data and libraries, LC Labs has provided access to the Library’s collections in a machine-readable form since our inception.
With support from the Mellon Foundation, the Computing Cultural Heritage in the Cloud grant has allowed our team to advance these efforts, which began with the resources shared on the LC for Robots page, into a new experimental sandbox space for sharing data packages.
Specifically, the grant team designed the space to host three derivative data packages used in the CCHC Data Jam, an invitation-only event in October 2022 at which outside experts gave their input on what it was like to computationally access and engage with large Library of Congress collections datasets using cloud services. Read more about how we designed these data packages and made them publicly available in this detailed process post on the Signal Blog.
Hearing from Users: Computing Cultural Heritage in the Cloud Data Jam
The Computing Cultural Heritage in the Cloud initiative pilots ways to combine cutting-edge technology and the collections of the largest library in the world, to support digital research at scale.
The CCHC team has continually taken a user-centered approach to meeting our grant goals of recommending service models, cost implications, and technical affordances of providing access to cultural heritage collections as data in cloud-based environments. First, we hosted a cohort of research fellows whose work required them to analyze LC collections at scale. The CCHC Data Jam was our second round of public user engagement, with heavier emphasis on understanding specific details about the technical set up of cloud-based storage environments and computational access pathways.
The Data Jam participants were experienced data wranglers from all over the world, all of whom were knowledgeable about the complexities of cultural heritage data. In a short, time-bound engagement, they recorded their feedback in real time and as authentically as possible. Now, anyone can watch these impressive feedback presentations via the event recording on loc.gov. For a written summary of event highlights, check out this post recapping the event on the Signal Blog.
How CCHC connects to Labs’ experiments with machine learning
In this end-of-year reflection, Sr. Innovation Specialist Meghan Ferriter shares how the Computing Cultural Heritage in the Cloud initiative is tightly coupled with the multifaceted explorations that are the hallmark of LC Labs work, and, specifically, our investigation of machine learning (ML) and artificial intelligence (AI).
Check out her post on the Signal Blog for a lucid explanation of how Labs experiments inform one another and how we build upon their outcomes in creative and iterative approaches.
- 2022 Innovator begins residency! With his project, Seeing Lost Enclaves: Relational Reconstructions of Erased Historic Neighborhoods of Color, this year’s Innovator in Residence, Jeffrey Yoo Warren, will use photographs, maps, film and audio recordings from Library collections to build an immersive digital 3D model of historic Chinatowns in Providence, Rhode Island and another city that will be determined.
- ICYMI: new collections made their way online since our last issue in September! Check out the Thanksgiving and Fall editions of What’s New on Loc.gov.
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For more information about LC Labs, visit us at https://labs.loc.gov/
Questions? Contact LC Labs at [email protected]