Innovation through Community Partnership Mapping and Analytics




impact, measurement and assessment, data, strategic planning


Higher education institutions increasingly are required to provide a measured response to perceptions that challenge institutions’ value proposition as assets to their communities. This article will focus on best practices in the campus’ efforts to create a pathway to demonstrate community impact. Foundational is the ability of systematic tracking of partnerships and projects data. This article will discuss how institutions’ research agenda can expand from basic metrics to analyzing leading indicators of partnership success – and how a sophisticated dataset can be ultimately leveraged to measure impact. The article will conclude with a reflection of the challenges faced by other higher education institutions and the commonality in institutions’ desire to systematically track and visualize community engagement efforts.



Bardo, J. W. (1990). University and City: From Urban to Metropolitan. Metropolitan Universities, 1(1), 36-43.

Brown, D.L., Bammer, G., Batliwala, S., & Kunreuther, F. (2003). Framing Practice-Research Engagement for Democratizing Knowledge. Volume 1(1): 81–102. Sage Publications. London, Thousand Oaks CA, New Delhi, DOI: 10.1177/14767503030011006.

Chomko, R. (2010). What’s an API and Why is it Important? Retrieved from

Dodge, K., Starke, A., Smith-Howell, D., & Woods, S. (2019). “Fostering an Integrated Culture of Community Engagement,” The Cambridge Handbook of Organizational Community Engagement and Outreach. Eds. Joseph Allen and Roni Reiter-Palmon. Cambridge: Cambridge University Press, DOI:10.1017/9781108277693.019

Driscoll, A., Holland, B., Gelmon, S., & Kerrigan, S. (1996). An Assessment Model for Service-Learning: Comprehensive Case Studies of Impact on Faculty, Students, Community, and Institution. Michigan Journal of Community Service Learning, 3(1), 66-71.

Driscoll, A. (2014). Analysis of the Carnegie Classification of Community Engagement: Patterns and impact on institutions. New Directions for Institutional Research, 2014(162), 3-15,

Drumond, C. (2019, November 15). Atlassian Agile Coach – Learn to scrum with the best of them. Retrieved from

Eder, M. M., Evans, E., Funes, M., Hong, H., Reuter, K., Ahmed, S., Calhoun, K., Corbie-Smith, G., Dave, G., DeFino, M., Harwood, E., Kissack, A., Kleinman, L. C., & Wallerstein, N. (2018). Defining and Measuring Community Engagement and Community-Engaged Research: Clinical and Translational Science Institutional Practices. Progress in community health partnerships: research, education, and action, 12(2), 145–156.

Ellucian (2020), Building an analytics-driven institution: 7 signs you are on the right path. Retrieved from

Flynn, E. (2001). From Capstones to Strategic Partnerships: The Evolution of Portland State University’s Community Engagement and Partnership Agenda, Metropolitan Universities Journal, 26 (3), pp. 159-170.

Furco, A. (2002). Revisions to the self-assessment rubric for the institutionalization of service learning in higher education. University of California, Berkeley.

Gelmon, S.B., Holland, B.A., Driscoll, A., Spring, A., & Kerrigan (2001). Assessing service-learning and civic engagement: Principles and techniques. Boston, MA: Campus Compact. Provides matrices for assessing impact on students, faculty, community, and institution.

Glowtouch. (May 2016). The Importance of APIs for Business, retrieved from

Holland, B. (1997). Analyzing institutional commitment to service: A model of key organizational factors. Michigan Journal of Community Service Learning, 4(1), 30-41.

Holton, V., Early, J., & Shaw, K. (2015). Leveraging Internal Partnerships and Existing Data Infrastructure to Track and Assess Community Engagement across the University, Metropolitan Universities Journal, 26 (2), pp. 75-98.

Iyer, B. & Subramaniam, M. (2015). Growth Strategy – The Strategic Value of APIs, Harvard Business Review, retrieved from

James, M. (2019, November 16) Scrum Methodology – Lean SCRUM: An Empirical Framework for Learning. Retrieved from

Janssen M., Charalabidis, Y., & Zuiderwijk, A. (2012). Benefits, Adoption Barriers and Myths of Open Data and Open Government, Information Systems Management, 29:4, 258-268, DOI: 10.1080/10580530.2012.716740

Jenke, E., & Medlin, K. (2015). A Centralized Strategy to Collect Comprehensive Institution-wide Data from Faculty and Staff about Community Engagement and Public Service, Metropolitan University Journal, 26 (2), pp. 125-146. DOI:

Lencioni, P. (2002). The five dysfunctions of a team: A leadership fable. San Francisco: Jossey-Bass.

Little, G. (2015), Why APIs will save your business from getting “Ubered”, retrieved from Fortune Magazine,

Mol, C.V. (2017). Improving web survey efficiency: the impact of an

extra reminder and reminder content on web survey response, International Journal of Social

Research Methodology, 20:4, 317-327, DOI: 10.1080/13645579.2016.1185255

Neon Rain Interactive. (2019). Agile Scrum for Web Development. Retrieved from

UNO Service Learning Academy. (2019). Service Learning Academy. Retrieved from

Owen, E. (2016). What does the Metropolitan University Identity Mean at UNO? University of

Nebraska at Omaha, June 2016.

Readwrite. (Dec 2008). Beyond the API: Why companies should have a presence on all major platforms, retrieved from

Espinosa, R. Garriga, L., Zubcoff, J.J., & Mazón, J. (2014). Linked Open Data mining for democratization of big data, 2014 IEEE International Conference on Big Data (Big Data), Washington, DC, 2014, pp. 17-19. doi: 10.1109/BigData.2014.7004479

Rosing, H. (2015). Tracking Culture: The Meanings of Community Engagement Data Collection in Higher Education, Metropolitan Universities Journal, 26 (2), pp. 147-164.

Sawicki, D., & Craig, W.J. (1996). The Democratization of Data: Bridging the Gap for Community Groups, Journal of the American Planning Association, 62:4, 512-523, DOI: 10.1080/01944369608975715

Shalowitz, M., Isacco, A., Barquin, N., Clark-Kauffman, E., Delger, P., Nelson, D., Quinn, A., & Wagenaar, K. (2009). Community-Based Participatory Research: A Review of the Literature with Strategies for Community Engagement, Journal of Developmental & Behavioral Pediatrics, 30 (4), p 350 – 361, DOI: 10.1097/DBP.0b013e3181b0ef14

Starke, A., Shenouda, K., & Smith-Howell, D. (2017). Conceptualizing Community Engagement: Starting a Campus-Wide Dialogue, Metropolitan Universities Journal, 2017, 28:2, pp. 72-89.

Think Automation (2020), The importance of system integration: does your software play well with others. Retrieved from

Westland, J. (2018). Quick Guide to Scrum Methodology. Retrieved from

Wilhite, S. & Silver, P. (2004). Civic Engagement and the Emergence of a Metropolitan Identity: The Politics of Mobilizing an Institution to Meet Metropolitan Needs. Metropolitan Universities, 15 (4), pp. 51-63.

Winter, A., Wiseman, J. & Muirhead, B. (2006). University-Community engagement in Australia: practice, policy and public good, Sage Journal – Education, Citizenship and Social Justice, DOI: 10.1177/1746197906064675