This toolkit outlines actionable changes for government practitioners looking to improve the accuracy and accessibility of the questions on their forms that collect information about a user’s gender.
The Digital Benefits Network's second Digital Identity Community of Practice quarterly call centered exploring client support models in digital identity and an update on the Balance ID project.
This guide provides practical financing strategies for governments to build, maintain, and expand integrated data systems (IDS) and evaluation capacity using federal and non-federal funding sources.
An updated guide for public sector and civic data users to embed racial equity and community voice throughout the data life cycle—from planning to dissemination.
This guide introduces privacy-enhancing technologies (PETs) and provides practical guidance for government agencies on selecting and implementing them to securely use, share, and protect sensitive data.
This annotated bibliography compiles key resources on data linkage and integration for research and statistical purposes, focusing on best practices, governance, and technical considerations.
The report evaluates the 2023 Newborn Supply Kit pilot program, highlighting its effectiveness in reducing maternal stress, alleviating financial burdens, and increasing trust in government services among new parents, especially in low-income communities.
U.S. Department of Health and Human Services (HHS)
This toolkit is designed to support government agencies in evaluating the effectiveness of their public participation and community engagement (PPCE) activities.
This framework provides voluntary guidance to help employers use AI hiring technology in ways that are inclusive of people with disabilities, while aligning with federal risk management standards.
This workshop summary provides practical guidance for web developers and designers on implementing accessible web design practices, emphasizing the importance of inclusivity and usability for all users.
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.
U.S. Department of Health and Human Services (HHS)
