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.”
This policy memorandum from the Food and Nutrition Service (FNS) provides guidance on data sharing activities that support targeted outreach and streamlined certification processes aimed at increasing the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) participation and retention.
This is a modular, dynamic roadmap guides the U.S. HHS's ongoing implementation of open data policies while inviting public collaboration and feedback.
U.S. Department of Health and Human Services (HHS)
An outline of the opportunities for modernizing SNAP to better meet participant needs by streamlining enrollment, improving digital access, and enhancing coordination with other safety net services.
Benefits Data Trust (BDT), in collaboration with the Center for Health Care Strategies (CHCS), conducted a nationwide analysis of how states coordinate across Medicaid and SNAP programs to streamline access to benefits.
Accessing safety net benefits can involve complicated and duplicative processes that create barriers to access. Using cross-enrollment strategies can minimize the difficulties community members face in getting access to life-saving resources.
This MOA outlines Hawai'i's legal data sharing agreement between the Women, Infants and Children Services Branch of the Department of Health (DOH/WIC), and the Benefit, Employment and Support Services Division of the Department of Human Services (DHS/BESSD) to exchange SNAP and WIC data.
The toolkit provides strategies for state and local WIC agencies to enhance enrollment by utilizing data from Medicaid and SNAP for cross-program data matching and targeted outreach.
These standardized guidelines are intended to manage data quality across Hawaii state agencies, covering key dimensions, compliance expectations, and best practices for both general and geospatial data.