G2TT
来源类型Brief
规范类型简报
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
发表日期2019-12-24
出版年2019
语种英语
概述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
摘要
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.
主题Education and Training ; Nonprofits and Philanthropy
URLhttps://www.urban.org/research/publication/introduction-data-quality-guide-promise-neighborhoods-collecting-reliable-information-drive-programming-and-measure-results
来源智库Urban Institute (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/480855
推荐引用方式
GB/T 7714
Peter A. Tatian,Benny Docter,Macy Rainer. Introduction to Data Quality: A Guide for Promise Neighborhoods on Collecting Reliable Information to Drive Programming and Measure Results. 2019.
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