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.
A strategy document that sets out USAID’s vision, goals, principles, and operational requirements for promoting open, inclusive, secure, and rights-respecting digital ecosystems to advance development and humanitarian outcomes worldwide.
United States Agency International Development (USAID)
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.
This framework is a logical structure for classifying, organizing, and communicating complex activities involved in making decisions about and taking action on enterprise data.
This tip sheet provides guidance for child welfare and social service agencies on how to effectively and respectfully collect SOGIE (Sexual Orientation, Gender Identity, and Expression) data.
U.S. Department of Health and Human Services (HHS)
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)
This one-pager introduces Iowa’s Child Care Data Dashboards, which provide near real-time insights into child care supply, demand, and vacancies to support data-informed planning across the state.
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.
A policy directive that establishes standards and guidance for federal executive agencies to manage, secure, and deliver public websites and digital services that are user-centered, accessible, and data-driven.
This toolkit provides guidance to protect participant confidentiality in human services research and evaluation, including legal frameworks, risk assessment strategies, and best practices.
U.S. Department of Health and Human Services (HHS)
A central hub of guidance, standards, and supporting documentation explaining how UK public sector bodies should record and publish information about algorithmic systems to ensure transparency and accountability.
