By Ivelisse Martinez-Beck, Ph.D., Senior Social Science Research Analyst and Child Care Research Team Leader, Office of Planning, Research and Evaluation
To support states’ early care and education Quality Rating and Improvement Systems, three recent briefs focus on categorizing quality improvement efforts, collecting quality data, and building strong systems to govern and manage that data.
Our work categorized quality improvement efforts four ways — Workforce, Setting, Family and System — and identified key targeted components within each category. We then depict how the four categories can affect outcomes such as child development and learning, teacher practice, and overall quality.
In our exploration of how to collect quality data, and building strong systems to govern and manage that data, we provide an overview of best practices in data management using the five stages of the data lifecycle (planning, collection, processing, management, and distribution). Additionally, we identify eleven strategies as best practices for creating strong ECE data management and governance structures.
This work is a part of the Child Care and Early Education Policy and Research Analysis project, our continued effort to support the early care and education community in building evidence through data collection, research, and testing of innovating interventions and strategies.