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Collections as Data

New from Digital Collections: 1 October Twitter Data Tutorial Series

By Su Kim Chung on April 9, 2019 11:57 AM | Permalink

Learn how to design, collect, document, and analyze a collection of Twitter data by Miranda Barrie 

Navigating a collection of over 14 million tweets can seem like a daunting task. When the UNLV Libraries published its first-ever collection of Twitter data, we knew there was a need to make the data accessible to faculty and students across campus. The 1 October Twitter Data Tutorial Series features ten tutorials that take you step-by-step through the design, collection, and documentation process of curating a collection of Twitter data. Tutorials seven through ten feature tools to help students analyze the data they collect.

Collections as Data: The Process (and Complications) of Data Visualization by Doris Morgan Rueda

By Su Kim Chung on July 25, 2018 6:17 PM | Permalink

Images 1 & 2: Before (top) and after (bottom) item renaming process.

After providing an introduction to digital humanities and collections as data in her previous blog post, Doris Morgan Rueda now provides insight into the exploratory work she is conducting in Digital Collections with Thomas Padilla using over a thousand scanned images of costume designs that were digitized as part of our LSTA entertainment grant

Collections as Data & Digital History: Moving from Theory to Practice by Doris Morgan Rueda

By Su Kim Chung on July 23, 2018 1:01 PM | Permalink

Homepage collage for the Entertainment Collections

In her introductory blog post, Doris Morgan Rueda provides some perspective on the digital humanities research she has been undertaking this month in Digital Collections working with Thomas Padilla. Currently pursuing a Ph.D. in History at UNLV with a concentration in North American Culture and Society and Public History, Morgan Rueda was hired to leverage her scholarly background in history to help us to explore Collections as Data concepts in the LSTA entertainment grant collection. With her help, we hope to learn and apply some concrete examples of how data visualization can be applied to our digital collections