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The landscape of research data visualization and considerations for strategic interventions

Presenter 1
Justin Joque
University of Michigan

Data visualization has become an increasingly important part of working with research data. While universities, libraries and data providers are investing in data and visualization infrastructure, the term now encompass a broadening range of activities from the design of graphics for publication to real time rendering of terabytes of data in interactive 3D environments. Librarians are increasingly being asked to participate and support research data visualization, but the breadth of the landscape creates difficulties for developing services and meeting campus expectations around visualization. As libraries and academic institutions develop infrastructure, support and services for visualization, we will need to both understand the complexity of the broad space of visualization and strategically develop scalable support for a diversity of types of visualization. The range of activities that constitute visualization each have unique economies of scale and cultural practices that directly influence our ability to provide support. This presentation will attempt to describe the diversity of the academic visualization landscape and building on our experiences at the University of Michigan will suggest some of the opportunities and challenges provided by providing library support for data visualization.

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