Category Archives: 2026

Frequently Asked Questions: Early Childhood Transition

This page presents frequently asked questions about the early childhood transition process, and provides brief answers that summarize federal requirements and OSEP guidance.

Key Findings From the 2023 State of the States Survey on IDEA Early Childhood Data Systems

A young girl in a costume holds up a sign reading 2026

The 2023 survey collected responses from 96 program leaders across 56 states, territories, and entities, providing a national picture of the capabilities of state EI and ECSE data systems, including how data are stored, linked, and used to support program improvement.

Part C Directory File Submission Office Hours (2025–26)

As the 2025–2026 EDPass submission cycle begins, DaSy is offering support for the Part C Directory file (FS029).

Episode 3: Building Trust and Powering Decisions: Utah’s Journey with an Early Childhood Integrated Data System

In this episode of DaSy Talks, hosts Howard Morrison and Jenna Nguyen sit down with Lisa Davenport and Jennifer Floyd to explore how Utah built and strengthened its Early Childhood Integrated Data System (ECIDS) by including Part C data.

COS Form and Documenting Evidence

The Child Outcomes Summary Form is a mechanism to document rating decisions and provide evidence that supports the rating from multiple sources.

What DaSy Can Do For You: 2026 Webinar

July 22, 2026 at 11 am PT / 2 pm ET. Learn how DaSy can support state efforts to collect and use data to meet IDEA reporting requirements and improve programs and outcomes for young children with disabilities and their families.

Data Leadership Competencies Self-Assessment

This self-assessment allows individuals and data teams to examine their status on each of the Data Leadership Competencies and develop a plan for building competencies based on the results of the assessment.

Strengthening Data Quality Before, During and After Child Outcomes Data Collection

August 26, 2026 at 12 pm PT / 3 pm ET. Explore practical strategies for improving child outcomes data quality before, during, and after data collection, including opportunities to discuss strategies with colleagues.