Resource Library

Explore whether and to what extent the choice of an employment data source matters in studies like National Evaluation of Welfare-to-Work Strategies (NEWWS). 

This toolkit offers strategies and tools to help agencies build the culture and infrastructure needed to apply data analysis routinely, effectively, and accurately — referred to in this publication as “sustainable data use.”

Explore briefs highlighting ACF projects to support the agency’s evidence capacity, including needs assessment, learning agenda development, and administrative data analysis.

A report for the U.S. Department of Health and Human Services on options and opportunities to address and mitigate the existing and potential risks, as well as promote benefits, associated with AI and other advanced analytic methods.

The Office of Planning, Research, and Evaluation (OPRE), within the Administration for Children and Families (ACF), offers an annual Evaluation and Monitoring 101 training to develop ACF staff skills to assess program performance and impact. This brief describes the training’s history, content, and learning outcomes, as well as OPRE’s approach to continuously improving the training based on participant feedback.

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.