Involving Students in Community Based Mapping Projects at the University of Notre Dame

Article

Abstract

Community-Based Research is a collaborative approach to research where academic researchers, community members, and organizations are involved in the development, implementation and dissemination of research. Such projects are often designed to promote positive change in particular areas of the community. Here we report on a two-year old community-based research project through the University of Notre Dame’s Center for Digital Scholarship and Center for Social Concerns. Working with the City of South Bend and the Near-Northwest Neighborhood association, we developed coursework to train students and community members in documenting property conditions and abandoned properties in an economically variable neighborhood of South Bend, Indiana. Technologically, the project uses ESRI ArcGIS Collector with data hosted by both Notre Dame and the City of South Bend. This application allows offline data collection and access while insuring that the data framework aligns with that used by all stakeholders. Despite this, data collection and analysis are not without some difficulties.

The inventory allows the community to access recently-acquired digital data to assist in planning decisions and help develop an increased sense of community ownership. For community partners without easy access to expensive GIS software, we also ensure that all data are available in an online framework. Repeating data collection annually will also provide valuable data on the effectiveness of various projects. Finally, immersing the students in both the community and its residents helps to foster a better tie between historically disparate groups. Presented at The Bucknell University Digital Scholarship Colloquium 2015 (#BUDSC15)

Attributes

Attribute NameValues
Creator
  • Matthew Sisk

  • Danielle Wood

Publisher
  • Self

Date Created
  • 2015-12-09

Language
  • English

Departments and Units
Record Visibility and Access Public
Content License

Digital Object Identifier

doi:10.7274/R0862DC6

This DOI is the best way to cite this article.


Files

Please Note: You may encounter a delay before a download begins. Large or infrequently accessed files can take several minutes to retrieve from our archival storage system.