Brief Introduction to Data Quality: A Guide for Promise Neighborhoods on Collecting Reliable Information to Drive Programming and Measure Results
Peter A. Tatian, Benny Docter, Macy Rainer
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Data quality has received much attention in the business community, but nonprofit service providers have not had the same tools and resources to address their needs for collecting, maintaining, and reporting high-quality data. While high-quality data can help improve outcomes, poor-quality data can do harm. This brief provides a basic overview of data quality management principles and practices that Promise Neighborhoods and other community-based initiatives can apply to their work. It is intended for people who collect and manage data within their Promise Neighborhood (whether directly or through partner organizations) and those who need to use those data to make decisions, such as program staff and leadership.
Research Areas Education Nonprofits and philanthropy
Tags Nonprofit data and statistics Data and technology capacity of nonprofits
Policy Centers Metropolitan Housing and Communities Policy Center
Research Methods Performance measurement and management