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This brief describes the development, validation, and cross jurisdiction replication of a risk prediction model designed to predict foster care placement.

This brief highlights promising practices for sharing and accessing data and discusses lessons learned related to four key activities essential to sharing and accessing data: (1) developing agreements for data sharing and use; (2) protecting the data’s security, confidentiality, and privacy; (3) securing institutional review board (IRB) and other approvals; and (4) accessing the data.

This brief highlights promising practices for preparing and linking data and discusses lessons learned related to (1) processing and cleaning data, (2) completing linkages, and (3) collaborating with partners to execute linkages.

This report presents an overview of the University of Alabama School of Social Work (UA-SSW) project, conducted as part of the Child Maltreatment Incidence Data Linkages (CMI Data Linkages) project.

Summary: Learn about a study that identified promising methods or practices, within and across the sites, for linking administrative data to inform understanding of the incidence of child maltreatment and related risk; discovered organizational factors that influenced the feasibility of enhancing data linkages; and found evidence that enhancing linkages is a feasible approach to questions about child maltreatment incidences, related risk factors, and protective factors.  

The purpose of this project was to examine the association between county-level rates of opioid overdose events and child maltreatment indicators.

This report is an overview of the Children’s Data Network/Rady project, conducted as part of the Child Maltreatment Incidence Data Linkages (CMI Data Linkages) project.

This report describes the project the Children’s Data Network and the California Child Welfare Indicators Project (CDN/CCWIP) conducted as part of the Child Maltreatment Incidence Data Linkages (CMI Data Linkages) project.

This report describes the project the Alaska Department of Health and Social Services (ADHSS) and the Oregon Health Sciences University (OHSU) conducted as part of the Child Maltreatment Incidence Data Linkages (CMI Data Linkages) project.

Accurate and ongoing surveillance of the incidence of child maltreatment and related risk and protective factors can help to inform policy and programs as well as shape prevention and intervention efforts. One promising approach to capturing this information is by linking local, state, or federal administrative records, such as those from child welfare, health, social services, education, public safety, and other agencies.