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This resource is a list of IDC produced Part B tools and products arranged by topic area. The list provides a brief description and link to each tool or product. Users can quickly scan for useful tools and products to ensure that they have explored all of the many Part B available resources that IDC has produced.

This matrix is both a standalone product and the fourth section of the IDEA Data Center Part C Exiting Data Toolkit. It contains scenarios for each of the 10 exiting categories. The Part C Exiting Data Toolkit is designed to assist states in reporting high-quality Part C exiting data, required under Section 618 of IDEA. The remaining three sections in the Part C Exiting Data Toolkit are: Part C Exiting Reasons and Categories (Section 1); General Challenges and Potential Solutions (Section 2, Part 1); Specific Challenges, Potential Solutions, and Variation (Section 2, Part 2); and Data Check Patterns and Additional Data Check Patterns to Ensure Non-Duplicated Counts of All Eligible Exiting Children (Section 3).

This updated resource contains basic information about IDEA data collections, data systems, and how to access resources for IDEA data.

A graphic illustrating how different IDEA data collections can span multiple years and how a state may be working simultaneously with data from multiple school years.

Who doesn't love a good calendar? This tool serves as a reference for states as they plan for the timely and accurate submission of their 618 data collections. Simply select a month to view the data collection and corresponding tasks and activities for that month, or select a report to view a monthly breakdown of activities and related resources. 

Have you heard these terms 618, 616, EDFacts, EMAPS, file specifications, OMB-MAX, GRADS360, Data Quality Reports? Do you understand what they are referencing? Do you want to gain a higher knowledge of these terms? Participants in this presentation learned more about IDEA data reporting requirements in relation to the 618 data collections. They also learned about data quality considerations and tools states can use when going through the data collecting and reporting procedures.

In December 2016, OSEP finalized new regulations on significant disproportionality (34 CFR §300.646). These regulations enforce the use of IDEA funds for mandatory CCEIS, which LEAs provide upon identification of significant disproportionality, and distinguish use of funds for CCEIS from the use of IDEA funds for voluntary CEIS. This resource is a handy chart that outlines the differences between CCEIS and voluntary CEIS.