Data intermediaries and backbone organizations, two types of place-based organizations, play a key role in helping their communities attain equitable outcomes, which they can do by building local data capacity, creating data-driven partnerships, and centering community voices.
Data Management Systems
This presentation focuses on using data and results-based framework to impact early childhood indicators in PNs. It addresses the 10 PN results and how to work on these areas through the Results-Based Accountability structure.
This document is Part I of a series of papers developed to help communities promote black male achievement in their neighborhoods. Part I provides a results-based framework for Promise Neighborhoods to systematically evaluate and respond to the particular needs of black male children in the community. Subsequent papers will offer programmatic and policy solutions that Promise Neighborhoods can employ within this framework to sustain and enhance their impact on this population.
A robust case management system is critical to tracking progress and improving outcomes for children and their families, along the cradle-to-career continuum.
In order to build a strong Promise Neighborhood and be well-positioned to seek funding and demonstrate success, communities should incorporate a robust data collection and evaluation plan into their work. Those seeking federal funding will need to meet Department of Education requirements, but we highly recommend that all communities use a comprehensive data system to collect and organize data, and help inform decision-making.
This fact sheet provides tips and resources for PNs to effectively approach data . It contains best practices on data collection, sharing, and use of information to document community needs, design solutions, and monitoring progress.
The Director of Research and Evaluation from the Los Angeles PN highlights LAPN's data infrastructure with a focus on program alignment, staffing, and data systems.
An interview with the Urban Institute's Peter Tatian following the release of the guidance document "Measuring Performance." Peter discusses the challenges in quantifying the impact of a long-term, multifaceted program.
In this brief, we review resources that provide more information and guidance on the major steps discussed in the Urban Institute brief “Six Steps to Success:” (1) define a set of indicators through which to measure and report results; (2) select target populations and establish baseline population counts and penetration rates; (3)align evidence-based programs to indicators and target populations; (4) inventory available data and decide what original data collection is necessary; (5) establish an appropriate data system; and (6) collect and report on indicators.
A consensus is growing among funders and practitioners that effective performance measurement is essential to improving the results of community change efforts. Gathering and using performance data can be a daunting task, however, particularly for place-based initiatives that engage multiple service providers and aspire to bring about population-level change.