Resource Library

Further refine results by entering a keyword or selecting filters.

Sort Results

Displaying 11 - 20 of 39

The Office of Planning, Research, and Evaluation (OPRE), within the Administration for Children and Families (ACF), offers an annual Evaluation and Monitoring 101 training to develop ACF staff skills to assess program performance and impact. This brief describes the training’s history, content, and learning outcomes, as well as OPRE’s approach to continuously improving the training based on participant feedback.

This Case Study Report discusses how Montgomery County, Maryland’s Department of Health & Human Services (“DHHS”) enterprise integrated case management system (eICM) shares data across more than 70 DHHS programs, allowing staff to better understand their clients, more efficiently serve them, and improve their outcomes.

Explore this toolkit filled with practical guidance for state and local TANF agencies on how to access, link, and analyze employment data from unemployment insurance (UI) systems for program monitoring, reporting, and evaluation.

This brief describes the development, validation, and cross jurisdiction replication of a risk prediction model designed to predict foster care placement.

The Experiences, Needs, and Voices of Workers in Low-Income Households During COVID-19, and its accompanying brief, Facing Challenges and Showing Resilience: Reflections of Workers from Low-Income Households During COVID-19, summarize the experiences that 41 such workers shared during in-depth interviews.

This brief describes the TANF Data Collaborative (TDC), an innovative approach to increasing data analytics capacity at state Temporary Assistance for Needy Families (TANF) agencies.

Explore findings from an analysis of patterns of data use by state TANF agencies and understand what characterizes exemplary data use.

This brief highlights promising practices for sharing and accessing data and discusses lessons learned related to four key activities essential to sharing and accessing data: (1) developing agreements for data sharing and use; (2) protecting the data’s security, confidentiality, and privacy; (3) securing institutional review board (IRB) and other approvals; and (4) accessing the data.

This brief highlights promising practices for preparing and linking data and discusses lessons learned related to (1) processing and cleaning data, (2) completing linkages, and (3) collaborating with partners to execute linkages.

This Case Study Report discusses how Iowa’s Integrated Data System for Decision-Making (I2D2) responsibly shares personally identifiable information collected by human services and related programs to conduct data analyses that inform policy, support program decision-making, and improve outcomes for Iowa’s children and families.