Why Data Sharing is Important to Increasing Funding-Case Example 1 and 2

Case Example 1 and 2 - July 10

Pdf Summary

These two case examples illustrate how data sharing can enhance community services and outcomes. <br /><br />In the first example, a midsize housing authority noticed that children in subsidized housing experienced chronic absenteeism and lower academic success. To tackle this issue, the authority initiated a data-sharing agreement with the local school district. They developed a secure system for sharing anonymized school attendance and academic progress information alongside housing stability indicators, like eviction risk and family relocation frequency. By overlaying the education and housing data, they identified patterns showing that school absences often coincided with housing instability. With these insights, they created a Housing Stability Support Team to assist families at risk of eviction by providing mediation and additional services before crises occurred. Their success in improving academic performance and lowering eviction rates helped secure a multi-year federal grant to further support these initiatives.<br /><br />In the second example, a housing agency faced increasing tenant behavioral issues, police involvement, and housing instability due to untreated mental health conditions. The agency partnered with local nonprofits, including mental health service providers and crisis intervention teams. Together, they developed a shared data dashboard to track metrics such as the number of mental health referrals, ER visits, and housing retention rates. Through this data, they found that residents engaging in wraparound behavioral health services had a 60% higher housing retention rate than those who did not. Using this evidence, the agency and its partners successfully obtained a $1.2 million state grant to expand on-site mental health services and embed case managers within housing properties.<br /><br />Overall, both examples demonstrate the effectiveness of inter-agency collaboration and data-driven approaches in addressing complex societal challenges.

Keywords

data sharing

community services

housing authority

academic success

housing stability

mental health

inter-agency collaboration

data-driven

grant funding

behavioral health