Advisor Information
Ann Fruhling
Location
Dr. C.C. and Mabel L. Criss Library
Presentation Type
Poster
Start Date
3-3-2017 12:30 PM
End Date
3-3-2017 1:45 PM
Abstract
The challenge in many data collection/analysis efforts is that of engaging users to participate. The Juvenile Case Management System (JCMS) project is a solution to that challenge. JCMS is developed in a collaborative effort between the Juvenile Justice Institute (JJI), the Nebraska Crime Commission, and the Public Health Informatics Research Lab.
Information systems must engage their users to be effective. This research investigates engaging users to interact with information systems and improve data collection for analysis.
The JCMS platform provides a web-based, centralized, database system to users working across the state of Nebraska. By involving users in system and screen design, we have been able to provide them with an engaging portal that meets their daily work needs. This common system enables and improves data analysis by homogenizing data, enforcing data validation and consistency, and reducing the needed effort to obtain the data.
Engaging Users: Enabling Data Analysis
Dr. C.C. and Mabel L. Criss Library
The challenge in many data collection/analysis efforts is that of engaging users to participate. The Juvenile Case Management System (JCMS) project is a solution to that challenge. JCMS is developed in a collaborative effort between the Juvenile Justice Institute (JJI), the Nebraska Crime Commission, and the Public Health Informatics Research Lab.
Information systems must engage their users to be effective. This research investigates engaging users to interact with information systems and improve data collection for analysis.
The JCMS platform provides a web-based, centralized, database system to users working across the state of Nebraska. By involving users in system and screen design, we have been able to provide them with an engaging portal that meets their daily work needs. This common system enables and improves data analysis by homogenizing data, enforcing data validation and consistency, and reducing the needed effort to obtain the data.