| 来源类型 | Publication |
| 来源ID | OPRE Research Brief #2014-47 |
| Best Practices in Ensuring Data Quality in Quality Rating and Improvement Systems (QRIS) | |
| Sarah Friese; Kathryn Tout; and Gretchen Kirby | |
| 发表日期 | 2014-06-30 |
| 出版者 | Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services |
| 出版年 | 2014 |
| 语种 | 英语 |
| 概述 | The purpose of this brief is to describe the specific strategies QRIS data stakeholders can use to improve upon the collection, management, and dissemination of QRIS data.", |
| 摘要 | Collecting and using data are core activities in a well-functioning Quality Rating and Improvement System (QRIS). Yet, data used in a QRIS are frequently housed in different systems, using different data management techniques. Ensuring a high level of QRIS data quality involves implementing a number of best practices drawn from established practices used in other fields. The purpose of this brief is to describe the specific strategies QRIS data stakeholders can use to improve upon the collection, management, and dissemination of QRIS data. The audience for this brief includes QRIS program administrators, technical assistance providers, data managers, and researchers. |
| URL | https://www.mathematica.org/our-publications-and-findings/publications/best-practices-in-ensuring-data-quality-in-quality-rating-and-improvement-systems-qris |
| 来源智库 | Mathematica Policy Research (United States) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/487767 |
| 推荐引用方式 GB/T 7714 | Sarah Friese,Kathryn Tout,and Gretchen Kirby. Best Practices in Ensuring Data Quality in Quality Rating and Improvement Systems (QRIS). 2014. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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