Collaboratory: Cloud-based software to support CE data collection

1. Tell Your Story, Improve Your Practice:
Community Engagement Data
at Your Fingertips
Bonner Directors 2019

2. Facilitators
Lisa Keyne, Ph.D.
Chief Strategy Officer
Collaboratory
Lauren Wendling, M.S. Ed.
Customer Specialist, Collaboratory
Ph.D. Candidate, IU Bloomington

3. Getting started together . . .
• Who are YOU and why do you want data?
• Who else at your institution would you want to have data?
• Where is data centralized? Where is CE data located?
• Why we (Lisa and Lauren) think Collaboratory could be helpful for Bonner institutions
• Are we starting at the same point?

4. Your Institution: CE & Bonner
• Bonner = integrating Bonner with other community engagement across institution
○ Community engagement central to institutional mission
○ There is significant CE work beyond Bonner and dispersed across the institution
• Always interested in sharing the story with more (internal, external) audiences
• Need data, and it should be:
○ Easy to collect and accessible
○ Organized, interpretable
○ Comprehensive, cross-institution . . .
○ Contribute to the kinds of reports we need (e.g., accreditation, Carnegie, Bonner)

5. Reasons why data is important
• Demonstrate the centrality of Bonner in achieving institutional strategy and leading related
change
• Increase quality and quantity of engaged research and creative activity
• Enhance the quality of engaged teaching and learning
• Understand and illustrate how your institution is addressing pressing social issues
• Recruit and retain engaged faculty, staff, and students
• Attract funding
• Deepen connection with and support of community
What story do you want to tell?

6. Introducing Collaboratory
• Cloud-based software as a service to support your CE data collection
• Collaboratory data can
○ Provide evidence of engagement
○ Refine CE strategy
○ Assist with institutional storytelling
○ Complement other data collection efforts at your institution
○ Foster institutional and community dialogues
• Unit of analysis = Activity
• Populated by faculty and staff, or their proxies
• Robust reports, as well as accessible, searchable website
• Laying a foundation for a research initiative

7. MCU picture

8. Norris, K.E. (2018)

9. What CE Data is valuable to you?
• What do you want to do with the data? To what end?
• Who do you want to “care” about the data?
• Desire for/benefit of institution wide and unit specific data
• Faculty and staff leadership, scholarly products
• Community -- roles and contributions
• How community engagement supports student learning
• Outcomes and outputs of the work
Is it different for a Bonner institution? In what ways?

10. Questions?