DaSy’s DMS Crosswalk between the Part C Data Processes Toolkit and OSEP’s DMS Data Protocol helps states identify possible gaps in documentation required for OSEP’s differentiated monitoring and support process.
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.
This resource is intended to help Part C and Part B 619 leaders understand, prepare for, and respond to various types of data system disruptions. Part C and Part B 619 programs rely on their data systems to support everyday operations. Many states have experienced an event or circumstance that has limited or restricted their data system(s) from being accessed or used as planned. Disruptions to a state’s data system may jeopardize access to accurate information required to meet a wide range of data use needs.
For a Part C system, the fiscal data profile depicts demographic, service delivery, infrastructure, and administrative data in a variety of ways to make the fiscal data more comprehensible to users.
Conference: IDIO 2022 Date: August 24, 2022 Presenters: Julie Austen, Sharon Walsh, Thomas McGhee, Stacy Callender, Christina Commons, Janet Timbs Presenters described in depth the requirements related to identifying and […]
Compute response rates for your state’s family survey data and determine if the surveys you received are representative of the target population.
Methods for state Part C allocations are typically driven by factors such as the number of children served in the previous year and historic expenditure patterns. But how well are these allocations meeting the needs of children and families in the state Part C program? Might other factors better support different levels of need? Using multiple sources of programmatic and fiscal data, states may better understand how to equitably allocate resources statewide to serve all families. Because states vary considerably in how they are structured, in this session we discussed different considerations and methods for determining allocations to facilitate equitable use of early intervention resources statewide.
In this session, participants explored mutual partnerships and data sharing between state Part C and Early Hearing Detection and Intervention (EHDI) programs. Presenters summarizes key data reporting requirements, information from federal technical assistance centers, and resources developed by the EHDI Outcomes Data Committee.
In this session, participants learned about three Office of Special Education Programs-funded Child Find Model Demonstration projects and approaches to working with states and communities to improve child find systems and promote equity in access to Part C. Presenters highlighted three models for child find and discuss how stakeholder engagement and data can enhance system improvement efforts.