Session Description:
Discover how a grassroots community of practice centered around data has reshaped how staff connect, collaborate, and engage with University resources. The Data Analyst Forum was formed after the pandemic with two simple goals: build a sense of belonging among staff and share knowledge to improve our work. Through real “data stories” participants will learn how data literacy grows through knowledge sharing and how collective learning can spark cultural change. The stories will also showcase examples of connecting data from different sources, practical ways to keep data safe, and how to find and use institutional data and resources more effectively. You don’t need to be a data expert—this is about how data becomes a shared language that brings people, units, and ideas together. Join us to see how knowledge sharing can reduce duplication, improve quality, and create meaningful connections across the University.
Learning Outcomes:
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Describe how a grassroots community of practice can address siloed work
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Identify key elements and practices that support successful staff led communities
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Recognize how shared data practices reduce duplicated effort, enhance data safety and improve data literacy
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Gain practical insight into responsible data work and where to find campus data
Session Structure:
Lecture-style presentation with optional Q&A
Presenters:
Samantha St. Amand (she/her), Data Scientist, Dean of Mathematics Office
Jana Carson (she/her), Senior Manager, Institutional Analysis & Planning