3. Investment in Capacity to Learn What Works

3.1: The state education agency, workforce agency, and at least one other agency (ie., an economic mobility agency, a central grant office, a budget office, an administrative agency) allocates at least 1% of discretionary funding for evaluation [and evidence building activities such as the collection, compilation, processing, analysis, and dissemination of data to create general purpose, policy- and program-specific statistics and datasets]

Rhode Island

Leading Example

The Rhode Island Department of Education (RIDE), the Office of the Postsecondary Commissioner (OPC), the Department of Labor and Training (DLT), the Department of Revenue (DOR), and the Office of Management and Budget (OMB) – each allocate more than 1 percent of their discretionary funding for data evaluation activities.

Examples of such efforts include RIDE’s Data Center, OPC’s Longitudinal Data System (RILDS), DLT’s Data Center, and OMB’s Performance Management Unit.

This work includes the collection, compilation, processing, analysis, and dissemination of data to create general purpose, policy-specific, and program-specific statistics and datasets. This investment ensures that each agency can effectively measure and improve the impact of their programs and policies.

By prioritizing these evidence-building activities, Rhode Island aims to enhance transparency, accountability, and the overall effectiveness of its government operations.

Promising Examples

Colorado

Colorado

Connecticut

Connecticut

New Jersey

New Jersey

North Carolina

North Carolina

Tennessee

Tennessee