Topic: Data Sharing
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Data 
The Five Phases of Successful Data Analytics: TANF Data Collaborative Pilot Resources Toolkit
This toolkit provides individuals and organizations with guidance, drawn from learning and experience, on how to use administrative and other data to inform program improvements. It collects concrete strategies and practitioner-tested tools designed to advance these efforts. These materials were developed in pilot projects with local Temporary Assistance for Needy Families (TANF) agencies as part of the TANF Data Collaborative (TDC).
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Policy 
Building and Sustaining Data Analytics Capacity: The TANF Data Collaborative Pilot Initiative Final Report
In 2017, the Administration for Children and Families (ACF) under the U.S. Department of Health and Human Services began the TANF Data Innovation (TDI) project. Its goal was to expand TANF agencies use of TANF administrative and employment data to improve program services and outcomes for families with low incomes. This report focuses on the TANF Data Collaborative (TDC) component of the TDI. TDC provided technical assistance (TA) and learning opportunities to two groups: all TANF agencies serving families on or eligible for TANF, and a select few agencies chosen for the TDC Pilot Initiative.
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Data 
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.
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Data 
Transforming Administrative Data into a Resource for Evidence Building
This brief describes TDI’s efforts to transform federal TANF and employment data into an integrated resource for program management and evidence building. This challenging project required the resolution of multiple technical, legal, and data security issues. Lessons learned may be useful for audiences interested in unlocking the potential of administrative data, including members of federal and state agencies, researchers, and advocates of evidence-informed policymaking.
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Data 
New Mexico’s Coordinating SNAP & Nutrition Support Impact Report
The New Mexico Human Services Department and Department of Health, as part of the Coordinating SNAP & Nutrition Supports program, leveraged data sharing to align SNAP, Medicaid, TANF, and WIC. Their new online interface automates the referral process, making it easier for families to access the nutrition and economic supports they are eligible for.
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Data 
Hawai’i’s Coordinating SNAP & Nutrition Supports Impact Report
As part of the Coordinating SNAP & Nutrition Supports program, Hawai’i's Department of Human Services, Department of Health, and the Children’s Healthy Living Center at the University of Hawai’i have advanced interagency collaboration to deliver nutrition benefits more effectively to families with young children. This project streamlined data sharing between SNAP and WIC, enhancing cross-enrollment processes. This report documents best practices and lessons learned from their project.
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Data 
Kansas’ Coordinating SNAP & Nutrition Supports Impact Report
Kansas' Department for Children and Families and Department of Health and Environment partnered with Delivering Change as part of cohort 1 of the Coordinating SNAP & Nutrition Supports program to enhance SNAP and WIC access in seven key counties through innovative data sharing and targeted outreach to identify and enroll eligible individuals. This report documents best practices and lessons learned from their project.
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Data 
Michigan’s Coordinating SNAP & Nutrition Supports Impact Report
The Michigan Department of Health and Human Services, together with the Food Bank Council of Michigan and the Michigan Department of Education developed a comprehensive Food Insecurity Map and a closed-loop referral system for nutrition and economic supports. The goal of these initiatives was to leverage cross-sector data to inform policy decisions, streamline access to food assistance, and reduce administrative burden. This report documents lessons learned and outcomes of their project.
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Data 
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. By developing the NJ Nutritional Data Hub and an innovative webservice, the project identified and reached out to families receiving SNAP but not WIC, and vice versa, significantly streamlining the adjunctive eligibility process. This report documents best practices and lessons learned from their project.
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Data 
NCDHHS: Cross-Enrollment in SNAP, WIC, and Medicaid
In this presentation, team members from the North Carolina Department of Health and Human Services provide an overview of the implementation process for cross enrollment with SNAP, WIC, and Medicaid in North Carolina.
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Policy 
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.” It covers a variety of subjects – from staffing and technology to collaboration and funding – that can impact the longevity of analytics work in the public sector.
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Data 
Cross Enrollment WIC Case Study: A Joint Project of MDHHS and Benefits Data Trust
This presentation from Steph White, Cross Enrollment Coordinator at the Michigan Department of Health and Human Services offers an in-depth example on implementing cross enrollment with WIC and general tools for cross enrollment.