Improving Data Quality for Better Child Welfare Services and Outcomes

Publisher: Chicago, IL: Mathematica Policy Research
Aug 31, 2018
Authors
Elizabeth Weigensberg

High quality data are essential to help child welfare agencies make informed program decisions and deliver appropriate services. Mathematica’s approach to working with child welfare agencies starts with collaboration, uses technology to create efficient solutions, and leverages staff expertise in child welfare, data quality, and innovative methods.