Topic: Data Sharing
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New Jersey’s Coordinating SNAP & Nutrition Supports Impact Report
The New Jersey Department of Human Services and New Jersey Department of Health collaborated in their Coordinating SNAP & Nutrition Supports project to enhance the enrollment and coordination of SNAP and WIC programs.
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HHS Data Inventory
A comprehensive metadata catalog designed to provide public visibility into both public and non-public data assets across all HHS Divisions.
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CSNS Kansas: Forming Connections Between SNAP and WIC to Tackle Food Insecurity
Together, the Kansas Department for Children and Families (DCF) and Department of Health and Environment (KDHE) are working to design and build a sustainable process to improve cross-enrollment for families eligible for both the Supplemental Nutrition Assistance Program (SNAP) and the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). This report outlines how Kansas will integrate data matches between SNAP and WIC—as well as targeted outreach— within the ongoing business processes of the agencies to help streamline the experience of accessing nutrition supports for clients. These functions will contribute to the agencies’ shared goal of reducing rates of food insecurity in Kansas.
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CSNS Hawaii: Building a Data-Driven Foundation to Help Hunger in Hawai’i
The Hawai‘i Department of Human Services (DHS), in partnership with the Hawai‘i Department of Health (DOH) and the Children’s Healthy Living Center of Excellence (CHL Center) at the University of Hawai‘i at Mānoa, is building foundational capacity to share and analyze administrative data across the SNAP (Supplemental Nutrition Assistance Program) and the Special Supplemental Nutrition Program for Women, Infants and Children (WIC). This groundwork will enable Hawai‘i to increase access to nutrition support programs, in alignment with Hawai‘i’s ‘Ohana Nui framework, which aims to dismantle intergenerational poverty.
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Eligible Low-Income Children Missing Out on Crucial WIC Benefits During Pandemic
The report highlights that many eligible low-income children are not receiving WIC benefits during the COVID-19 pandemic, with participation rates varying significantly by state and lagging behind programs like Medicaid and SNAP.
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Leveraging Cross-Program Data to Modernize Outreach & Enrollment in SNAP and Connected Benefits
This resource outlines three data sharing models tested during the first cohort of the Coordinating SNAP & Nutrition Supports grant program.
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Strengthening Analytics in Government Agencies: A Toolkit for Sustainable Data Use
This toolkit offers strategies and tools to help agencies build the culture and infrastructure needed to apply data analysis routinely, effectively, and accurately – referred to in this publication as “sustainable data use.”
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California Health and Human Services Agency Data Playbook
This data playbook created by the California Health and Human services agencies discusses five plays designed to help Departments utilize data to inform program and policy development.
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CSNS New Jersey: Sharing Nutrition Program Data to Raise WIC Enrollment
This report outlines how the New Jersey Department of Human Services’ Division of Family Development (DFD) and the Department of Health (NJDOH) are increasing SNAP & WIC co-enrollment through data sharing, outreach, and systems integration.
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Supplemental Nutrition Assistance Program: Requirement for Interstate Data Matching To Prevent Duplicate Issuances
This interim final rule requires SNAP State agencies to provide information to the NAC regarding individuals receiving SNAP benefits in their states in order to ensure they are not already receiving benefits in another state.
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Case Study for the Child Welfare Study to Enhance Equity with Data (CW-SEED): Michigan
This case study examines how Michigan’s Department of Health and Human Services uses data practices to advance racial equity in child welfare through identity-informed data collection and anonymous decision-making.
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Michigan Unemployment Insurance Agency’s (UIA) Economic Dashboard
This dashboard provides a comprehensive view of underlying trends in unemployment across Michigan. It serves as an invaluable resource for understanding the impacts of unemployment on various industries, occupations, and communities. By providing detailed insights into sectors experiencing layoffs, claimant demographics, and the regions most affected, the dashboard equips us with the data needed to develop targeted solutions tailored to the needs of Michiganders.