Best Practices in Ensuring Data Quality in Quality Rating and Improvement Systems (QRIS)

Published: July 14, 2014
Topics:
Child Care
Projects:
Child Care and Early Education Policy and Research Analysis (CCEEPRA), 2005-2018 | Learn more about this project
Types:
Reports

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.