Topic: Data Sharing
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Data 
Improving Outcomes for Families through Better Use of Data: The TANF Data Collaborative
The Temporary Assistance for Needy Families (TANF) Data Innovation project and the TANF Data Collaborative (TDC) Pilot were established to expand the routine use, integration, and analysis of TANF and employment data by agency staff to improve program services and outcomes for families with low incomes. This nine-minute video, produced after the completion of the TDC Pilot, features staff members from the California, Colorado, Minnesota, and Virginia TANF agencies reflecting on their challenges, accomplishments, and general experiences during the pilot.
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Data 
Data Sharing to Build Effective and Efficient Benefits Systems: A Playbook for State and Local Agencies
This playbook is designed to help government and other key sectors use data sharing to illuminate who is not accessing benefits, connect under-enrolled populations to vital assistance, and make the benefits system more efficient for agencies and participants alike. It is a step-by-step guide to conducting smooth and efficient data sharing projects that are permissible and secure.
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Data 
Effective Strategies to Collect Address Changes from Medicaid Beneficiaries via State Websites
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing strategies for states to collect current mailing addresses of Medicaid beneficiaries in advance of the Medicaid continuous coverage requirement — in effect under the federal public health emergency — unwinding.
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Data 
Ex Parte Options and Recommendations for the non-MAGI Medicaid Population to Reduce Churn
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing policy options and state examples for Medicaid administrators to reduce churn for non-MAGI Medicaid enrollees when the federal public health emergency ends.
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Digital Identity 
Supplemental Nutrition Assistance Program: Requirement for Interstate Data Matching To Prevent Duplicate Issuances
The National Accuracy Clearinghouse is an interstate data system used to identify individuals receiving SNAP benefits from multiple states. 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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Data 
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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Data 
Harnessing Data and Technology to Construct a Human Services System that Supports Thriving and Equitable Communities
Recent innovations in technology have opened a path for H/HS agencies to dramatically strengthen their data and technology infrastructure while providing fairer and more equal access to crucial benefits and services. By taking the concrete policy steps outlined in this brief, we believe that Congress and the administration can help human services agencies accelerate the construction of next generation systems that support the move toward a data-driven, equitable, multidisciplinary service delivery model.
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Data 
CSNS Michigan: Data-Driven Strategies to Help End Hunger in Michigan
This report outlines how the Michigan Department of Health and Human Services (MDHHS), in partnership with the Food Bank Council of Michigan (FBCM) and Michigan Department of Education (MDE), is deploying a three-pronged strategy to leverage data insights to systematically identify and eliminate gaps in access to nutrition supports among priority populations using food security map and closed-loop referrals.
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Data 
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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Data 
Streamlining Medicaid Renewals Through the Ex Parte Process
The Centers for Medicare & Medicaid Services (CMS) should provide detailed guidance and oversight to help states improve automatic Medicaid renewals using available data, through the ex parte process.
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Data 
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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Data 
Conducting Outreach for Benefits Cross Enrollment
This resource outlines strategies for cross-enrollment outreach, which can break down silos between programs and reach applicants who may be eligible for under-enrolled benefits programs.