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Improving Data Quality for Better Child Welfare Services and Outcomes
Evidence | Publications

Improving Data Quality for Better Child Welfare Services and Outcomes

Published: Aug 31, 2018
Publisher: Chicago, IL: Mathematica Policy Research
Human Services Quality Improvement Early Childhood Early Childhood Systems Quality Measurement Child Welfare Child Support State and Local Analytics & Operations Data Strategy Technical Assistance

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.

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