Informing child welfare policy and practice: using knowledge discovery and data mining technology via a dynamic Web site
| Autor: | C. Joy Stewart, Elizabeth C. Weigensberg, Hye-Chung Kum, Dean F. Duncan, Kimberly Flair |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Child abuse
Internet Technology business.industry Computer science Knowledge economy Information sharing Data Collection Child Welfare Public Policy Dynamic web page computer.software_genre Knowledge extraction Information and Communications Technology Pediatrics Perinatology and Child Health Agency (sociology) Developmental and Educational Psychology North Carolina Humans The Internet Data mining business Child computer |
| Zdroj: | Child maltreatment. 13(4) |
| ISSN: | 1077-5595 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|