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Auspos, Patricia – Annie E. Casey Foundation, 2017
Integrated data systems are often used to inform decision making at the top tiers of local or state government. Policymakers use analyses based on large numbers of integrated data system (IDS) records (from which personal identifying information has been removed) to understand the overlap between cases that receive services from different systems…
Descriptors: Prediction, Models, Data Use, Databases
Auspos, Patricia – Annie E. Casey Foundation, 2017
An integrated data system (IDS) that links information from separate administrative data systems offers policymakers, program administrators and researchers a powerful tool to analyze interactive effects across systems and make more informed decisions to improve outcomes for vulnerable families. This case study discusses how two states (Washington…
Descriptors: Data Use, Child Welfare, Foster Care, Family Programs
Auspos, Patricia – Annie E. Casey Foundation, 2017
With the emergence of "pay for success" programs, state and local governments have new opportunities to align services and demonstrate how service delivery investments in one system can improve outcomes in others and potentially save money. Integrated data systems that track individuals and families across different agencies are proving…
Descriptors: Homeless People, Child Welfare, Mothers, Parent Child Relationship
Auspos, Patricia – Annie E. Casey Foundation, 2017
Across the country, collaborative efforts are bringing together a variety of organizations that work with school-age children and youth, including out-of-school time programs and nonprofit service agencies, to improve educational outcomes in their communities. However, linking activities to outcomes can be a particular problem for nonprofit…
Descriptors: After School Programs, Attendance, Academic Achievement, Educational Improvement