Preparation is the foundation to a successful DMS 2.0 process. ECTA, CADRE, DaSy, and CIFR developed clear steps to help you get prepared.
Preparing for DMS 2.0
Tag Archives: Data
Transform State Early Childhood Data to Meet the Needs of Children, Families, and Those Who Support Them
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.
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 […]
EC Data University – Data Analysis
The data analysis path expands on prior content to include concepts ranging from statistics to data use as well as their practical application. Data analysis is critical for transforming the ever-growing volume of raw data available to early childhood programs into meaningful information that may be used for checking data quality, identifying/answering programmatic questions, and decision-making.