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 report reviews global AI governance tools, highlighting their importance in ensuring trustworthy AI, while identifying gaps and risks in their effectiveness, and offering recommendations to improve their development, oversight, and integration into policy frameworks.
A statewide framework to improve data literacy among Oregon public sector employees by identifying core competencies, learning goals, and implementation strategies across various roles and skill levels.
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.
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.
The Maryland Information Technology Master Plan 2025 lays out the state’s strategy to modernize IT, expand digital services, and strengthen infrastructure to better serve residents and government agencies.
This annotated bibliography compiles key resources on data linkage and integration for research and statistical purposes, focusing on best practices, governance, and technical considerations.
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)
