Better data is critical to improving the early childhood ecosystem. This resource is meant to help states understand the return on investment of improving their early childhood data capacity, provide guidance about how to make the improvements they need, and support them in laying a strong foundation for connecting robust early childhood data with statewide longitudinal data systems.
Tag Archives: Data
IDEA Part C Dispute Resolution EMAPS Survey Data Check Tool
Updated in October 2024, the IDEA Part C Dispute Resolution EMAPS Survey Data Check Tool is designed to be used by lead agencies in states as they prepare their data for submission in EMAPS. The tool can identify potential format errors and validation errors and check for year-to-year changes in the data.
Part C Data Tips: Spring & Summer Resources
Part C Data Managers are shifting timelines and processes in response to new deadlines around modernization. Dates have been updated to reflect the most recent information (May 2024) from the EDFacts Partner Support Center.
The Intersection of Part C and CEDS
Explore the Connections tailored for Part C indicators, glean insights from a national early learning organization, and uncover additional CEDS early learning resources.
Discover how over 55 elements with standardized definitions, developed by early learning SMEs, can streamline your Part C reporting.
Webinar Recap: Optimizing Data Communication for Seamless Transitions
Effective data communication plays a pivotal role in ensuring seamless transitions for children moving from one educational program to another.
Part C Data Tips: March Resources
Updated for 2024! We asked DaSy experts for tools that are helpful for this season and for ways to prepare for what’s ahead.
Part C Data Tips: Spring 2023 Resources
Part C Data Managers are shifting timelines and processes in response to new deadlines around modernization. Top Part C Data tasks to tackle this quarter are focused around OSEP’s modernization of the data submission system.
EC Data University – Data Quality Basics: Understanding Data Quality
Overview Data Leadership Competencies Data Foundations Data Analysis Data Use & Sharing Introduction Data Quality Basics: Understanding Data Quality Data Quality Basics: Validity and Reliability Common Part C and Part […]
More Than Numbers: A Guide Towards Diversity, Equity and Inclusion in Data Collection
The guide is useful to staff who design program forms and surveys that involve the collection of disability, gender, or race/ethnicity information.
Methodology Matrix
Part C and Part B 619 staff can use this interactive tool with data teams and stakeholders to explore and determine the most appropriate methodologies for research or evaluation data collection.