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The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

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Leveraging integrated data for program evaluation: Recommendations from the field.

Sharon Zanti¹, Emily Berkowitz¹, Matthew Katz¹

¹University of Pennsylvania, Actionable Intelligence for Social Policy, United States.

Evaluation and Program Planning

|August 26, 2022

Summary

This summary is machine-generated.

Integrated Data Systems (IDS) leverage cross-sector administrative data for program evaluation. IDS offer evaluators new tools to overcome data silos and improve decision-making, despite existing challenges.

Keywords:

Administrative data reuse Cross-sector data linkage Integrated data systems

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Area of Science:

Public Administration
Data Science
Program Evaluation

Background:

Administrative data is increasingly used in the public sector for decision-making and program evaluation.
Challenges exist in reusing administrative data, including issues with data access, quality, and interoperability.
Integrated Data Systems (IDS) are emerging as a solution to overcome these challenges.

Purpose of the Study:

To inform evaluators about the growing field of Integrated Data Systems (IDS).
To provide guidance on leveraging cross-sector administrative data in evaluation work.
To highlight the potential of IDS in enhancing program and policy evaluation.

Main Methods:

The study synthesized information from three sources: a survey of U.S. data integration efforts (N=63), expert interviews, and internal knowledge from the Actionable Intelligence for Social Policy (AISP) initiative.
A review of the U.S. data integration context and history was conducted.
Recommendations for evaluators and examples of IDS in practice were compiled.

Main Results:

Integrated Data Systems (IDS) facilitate the use of administrative data across different sectors.
The study identified tangible recommendations for evaluators seeking to utilize integrated data.
A list of U.S. IDS sites with publicly available data request processes was compiled.
Examples of successful evaluations using integrated data were presented.

Conclusions:

Despite challenges, Integrated Data Systems (IDS) provide valuable tools for program and policy evaluation.
Leveraging cross-sector administrative data through IDS can improve methodologies and shorten evaluation timelines.
IDS empower evaluators to access and utilize data across institutional silos for more informed decision-making.