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ARLIS/NA 49th Annual Conference has ended
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Tuesday, May 11 • 2:00pm - 3:20pm
04. Telling Stories with Library Data: Visualization Projects and Tools

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Libraries can leverage their data to create meaningful visual narratives and gain new insights about themselves. A case study of the use of Power BI, a powerful data visualization tool provided by Microsoft, at the Metropolitan Museum of Art’s Watson Library explores how a library's data can be visualized to tell a compelling story. Transforming numbers into narratives gives stakeholders a deeper insight into the impact of the library. A second case study, Ensemble@Yale, highlights a crowdsourced transcription project that enlists volunteers to generate structured metadata from digitized performance programs in the archives. The ultimate goal is to create a searchable database of people and productions, as well as datasets for more experimental visualizations. A demonstration of tools including Power BI, Project Builder, OpenRefine, Gephi, and Tableau will highlight out-of-the-box options for data collection, cleaning, visualization, and sharing.


Moderators
Speakers
avatar for Alex O'Keefe

Alex O'Keefe

Research + Instruction Librarian, School of the Art Institute of Chicago
avatar for Michael Cummings

Michael Cummings

Assistant Museum Librarian, Systems, Metropolitan Museum of Art
avatar for Catherine Derose

Catherine Derose

Program Manager, Digital Humanities Lab, Yale University Library
avatar for Lindsay King

Lindsay King

Associate Director for Access and Research Services, Haas Arts Library, Robert B. Haas Family Arts Library, Yale University
At the Haas Arts Library at Yale University, I oversee public services--including reference, instruction, outreach, and digital services--supporting students and faculty in art, history of art, architecture, drama, theater studies and dance. I am the library liaison and subject selector... Read More →
avatar for William Blueher

William Blueher

Watson Library, Metropolitan Museum of Art


Tuesday May 11, 2021 2:00pm - 3:20pm EDT