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Building Out a Library Based Data Visualization Service

Presenter 1
Justin Joque
University of Michigan

This paper outlines the development of data visualization services as part of the data services provided by the University of Michigan Library. Over the past two years we have expanded our data visualization services to include consultations, workshops and course-based instruction. While a large proportion of our patrons are from the social sciences, we provide both numerical and geographic data support for the entire breadth of disciplines at our university. In addition to disciplinary diversity, library constituents include undergraduates, graduate students, faculty and the wider community. The myriad skills and perspectives our patrons bring to a data visualization problem often demand that we help them develop abstract ways of thinking about visualization and focus on their data and intentions, rather than fixating on a one-size-fits-all tool that does not exist. This presentation will focus on our current service model and a number of the key difficulties and solutions we arrived at in building an interdisciplinary data visualization service.

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