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FREE Data Visualization in Libraries Discussion Wednesday September 13th – sponsored by RUSA’s Emerging Technology Section Discovery Committee
September 13 @ 12:00 pm - 1:00 pm CDT
Curious about unleashing the potential of data visualization in your library? RUSA’s Emerging Technology Section Discovery Committee is pleased to host a discussion on the use of data visualization, a tool that can be used in public, academic or special libraries to better understand the value of library services and identify improvements.
Established visualization librarians, Negeen Aghassibake and Justin Joque will speak about their work supporting data visualization at their libraries and universities. Building on their own work and their recent involvement in an IMLS grant focused on data visualization in libraries, they will address opportunities and challenges in building, sustaining, and scaling visualization services in a variety of institutional settings. They will also discuss some benefits of building data visualization support in libraries, including its ability to support assessment, large and small scale faculty projects, and expanded data services.
The Discussion will be on Wednesday September 13th from 1-2pm Eastern (noon – 1pm Central/11am – noon Mountain/10am – 11am Pacific)
This event is FREE and you don’t need to be RUSA or ALA member to attend.
Attendees can register in advance using the following link:
After registering, you will receive a confirmation email containing information about joining the meeting.
About the Speakers:
Negeen Aghassibake is the Data Visualization Librarian at the University of Washington Libraries. She received her MSIS in 2018 from the University of Texas at Austin. Her interests include inclusive data practices and accessible visualizations. In 2022, she was selected as a 2022 LEADING Fellow, a program focused on data science in library and information studies.
Justin Joque is a Data Visualization Librarian at the University of Michigan, where he primarily assists users in finding, manipulating, analyzing, and visualizing diverse types of data. He also provides consultations on data visualization and other related issues, and teaches workshops on visualization techniques, literacy, and tools. He completed his Master’s of Science in Information at the University of Michigan – School of Information with a focus on Information Analysis and Retrieval and has a PhD in Communications from the European Graduate School.