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Informing Child Welfare Policy and Practice

Using Knowledge Discovery and Data Mining Technology via a Dynamic Web Site

University of North Carolina at Chapel Hill, School of Social Work

Hye-Chung Kum

University of North Carolina at Chapel Hill, School of Social Work, kum{at}email.unc.edu

Elizabeth Caplick Weigensberg

University of North Carolina at Chapel Hill, School of Social Work

Kimberly A. Flair

University of North Carolina at Chapel Hill, School of Social Work

C. Joy Stewart

University of North Carolina at Chapel Hill, School of Social Work

Proper management and implementation of an effective child welfare agency requires the constant use of information about the experiences and outcomes of children involved in the system, emphasizing the need for comprehensive, timely, and accurate data. In the past 20 years, there have been many advances in technology that can maximize the potential of administrative data to promote better evaluation and management in the field of child welfare. Specifically, this article discusses the use of knowledge discovery and data mining (KDD), which makes it possible to create longitudinal data files from administrative data sources, extract valuable knowledge, and make the information available via a user-friendly public Web site. This article demonstrates a successful project in North Carolina where knowledge discovery and data mining technology was used to develop a comprehensive set of child welfare outcomes available through a public Web site to facilitate information sharing of child welfare data to improve policy and practice.

Key Words: child welfare outcomes • knowledge discovery and data mining • KDD • administrative data • longitudinal data

This version was published on November 1, 2008

Child Maltreatment, Vol. 13, No. 4, 383-391 (2008)
DOI: 10.1177/1077559508318951


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