Save time by identifying potential format errors, validation errors, and other errors in subtotals or totals before data for submission via EMAPS.
This guide supports Part C and Part B 619 program staff in addressing equity considerations at each stage of the data inquiry cycle. The guide incorporates key components of the DaSy Data Systems Framework and the DaSy Racial Equity Statement that can help states, territories, and tribal governments move toward more equitable practices related to program access, supports and services, and outcomes.
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.
This checklist has been developed by the EHDI Outcomes Committee as a resource for state Part C and EHDI staff to use as they develop Data Sharing Agreements, consistent with the federal requirements under the Individuals with Disabilities Education Act (IDEA) and Family Education Rights and Privacy Act (FERPA).
Designed to provide assistance to IDEA Part C Data Managers and other users of the EDFacts Metadata and Process System (EMAPS). This tool offers a way to ensure accuracy of IDEA Part C Child Count and Settings data prior to official submission. The Part C Child Count and Setting Data Tool allows the state to enter their data and have any errors flagged. Corrections can then be made prior to data entry and submission in EMAPS.
Do you need help identifying possible gaps in documentation required for OSEP’s differentiated monitoring and support process? This crosswalk is designed to provide an overview of the major themes covered in the Differentiated Monitoring and Support (DMS) Part B/C Data Protocol and where those themes could be addressed when a state chooses to use the DaSy Part C Data Processes Toolkit.
OSEP, with the collaboration and support of ECTA Center and DaSy Center (for Sections II and III), developed this voluntary self-assessment tool to help Local Education Agencies (LEAs) strengthen their child find system with the goal of ensuring children eligible for special education and related services are referred and enrolled.
Compute response rates for your state’s family survey data and determine if the surveys you received are representative of the target population.
Compare your state’s C4 family outcomes data to the national data in the three sub-indicator areas. Make comparisons to subgroups of states that use the same survey and scoring approach
Part C and Part B 619 staff can use the explicit, practical examples and guidance in this toolkit to craft their own strategies that help ensure racial equity is centered at all stages of the data life cycle.