Data Collection & Data Systems

Computer Aid, Inc. has built AQUARIUS, a web-based system that collects data to track child care quality characteristics, including ERS data, professional credentials, classroom ratios, parent involvement data and child developmental screening records. AQUARIUS takes all of this information and generates a one to five star rating based on a weighted formula. The system also enables users to apply for mini-grants, perform elaborate cost analysis and to create reports on how money is being allocated and if there are improvements in the center's quality.

NACCRRA supports CCR&R state networks and local agencies in their collaborations with states’ development and implement of quality rating and improvement systems and works with State Child Care Administrators upon request.

Quality Assist has worked with states on designing state-level technical assistance systems that include assessment of need and capacity; workforce development; accountability; optimizing resources; and system management. They have designed, developed and formalized a credentialing system for TA consultants based on knowledge and demonstrated competency and have developed a 50-hour course for technical assistance consultants and have developed training for mentors and coaches. Quality Assist has also conducted large scale evaluations of program quality.

The content of the direct technical assistance NCCIC provides to States and Territories touches on each of the areas regarding the planning and implementation of QRIS. The NCCIC central office also has a full time researcher/writer dedicated to QRIS as a content area who answers requests from states and policy makers.

The NC Division of Child Development has conducted peer-to-peer technical assistance on the following topics: the structure of North Carolina

The BUILD Initiative has supported states in outlining system goals, infrastructure needs, state-local roles and responsibilities and have supported states in developing provider outreach strategies, choosing quality measures, creating data quality assurances, developing evaluation strategies and creating culturally competent systems.