It was chosen as a candidate for experimentation with CAD concepts in the context of historical research and digital humanities. The digitized archival records in the collection document the history of entertainment in Las Vegas and include over 38,000 items. In 2018, a small team led by Thomas Padilla, Emily Lapworth, and Doris Morgan Rueda worked on an initial Collections as Data Project using the Entertainment digital collection. The availability of larger sets of digital image files and metadata provide an opportunity for SCA to investigate Collections as Data practices using locally-curated archival collections and user profiles that reflect the researchers in the Southern Nevada community as well as on the UNLV campus. UNLV Special Collections and Archives (SCA) has been active in creating digital collections since 2006 and has set goals in recent years to focus on increased production of reformatted materials through large-scale digitization methods. Thomas Padilla, formerly the Interim Head of Research, Innovation, and Creation, served as PI for both Collections as Data grants. “ Collections as Data” was also the name of a grant-funded project which began in 2016 and formed interdisciplinary teams that, “ documented, iterated on, and shared current and potential approaches to developing cultural heritage collections that support computationally-driven research and teaching.”This work was extended through additional grant funding for Collections as Data: Part to Whole in 2018, but at this point the grant has had far-reaching impacts on practitioners, including at the University of Nevada, Las Vegas Libraries where faculty are taking a more data-focused look at how we provision cultural heritage collections, increase data literacy capacity in our community, and support this type of research across disciplines and communities. If you’ve heard of Digital Humanities, Collections as Data falls under that umbrella of scholarly activity. Digital or computational research methods such as text mining, data visualization, mapping, image analysis, audio analysis, and network analysis automate steps in the research process that would take humans many hours to do, or are even impossible for humans to do manually. For example, a historian can use a computer program to quickly read thousands of pages of text and identify patterns such as topics or people that are named.
“Collections as data” is the idea that collections (such as UNLV’s Digital Collections) can be used as data for researchers to analyze using computers. Increasingly, content providers in libraries seek to take library collections and present them as datasets that can be acted upon in various ways by machines or through use of computer-aided tools and methods.
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Research in library collections is no longer limited to locating and physically handling collections nor does it need to stop with the access and download of digitized materials. Read on for more information, or go directly to the dataset.Ĭory Lampert, Head of Digital Collections, and Emily Lapworth, Digital Special Collections Librarian provide us with an overview of how Digital Collections is working on this important research initiative. Select Las Vegas City Commission Records are now available as a dataset that can be analyzed using computational research tools. This is part one of a two-part article on Collections as Data research at the UNLV Libraries. Las Vegas City Commission Records, 1911-1960. Closeup of Las Vegas City Commission minute book dating from 1911
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