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Steven Braun

Steven Braun

Data Analytics and Visualization Specialist, Northeastern University Libraries
Steven Braun is the Data Analytics and Visualization Specialist in the Northeastern University Libraries Digital Scholarship Group. He received his M.S. in molecular biophysics and biochemistry from Yale University and his B.A. in chemistry and Asian studies from St. Olaf College. His visualization work emphasizes interdisciplinary connections that challenge the ways in which we understand the relationship between data and representation in the world around us. For examples of Steven’s work, see http://www.stevengbraun.com.

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This session further delves into the available data derived from library activity; this might encompass everything from data gathered through the library web site to sensor data arising from traffic within the library. How is the library assessing programs offered? What data arises from mobile devices when delivering location based services? How to evaluate student learning outcomes in the context of the library?
Faced with a highly diverse combination of externally and internally collected data (web visits, gate counter, collection usage, subject analysis, budgets, space use, reference help interactions, etc.), academic libraries have rapidly mastered the value and use of analytics. Whether analyzing prospective subscription packages to determine their value for an institution’s research activities or reviewing usage data drawn from the local digital repository, libraries want to extract meaning from the increasing volume of library data. What does that data look like? How should that data be managed? And in what combinations is that data most enlightening?

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