Gateway to Think Tanks
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.
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主题 | Education and Training ; Nonprofits and Philanthropy |
URL | https://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. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
introduction_to_data(220KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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