Using Integrated Data to Identify and Solve Housing Conditions that Harm School Readiness

A Cleveland Case Study

Posted December 13, 2018
By the Annie E. Casey Foundation
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This case study shows how data systems can be combined to identify educational risk factors and then develop and implement solutions for addressing them. It shares a detailed account of strategies — made possible through data systems developed by the Poverty Center — that various stakeholders utilized to protect children in Cleveland from lead exposure and its damaging effects on school readiness. The information presented is geared toward researchers and leaders who are interested in learning about the practical application of linked data.

Findings & Stats

Statements & Quotations

Key Takeaway

Introducing a flexible tool for multiple purposes and multiple users

In Cleveland, shared data provided researchers and practitioners with critical information for assessing housing risks and protecting children from lead exposure.