Slides and Recording Are Now Posted!
Check out the slides and recording for last month's Communicating Your Data webinar.
New Part C Indicator Data Display Wizard!
The Part C Indicator Data Display Wizard provides users with various chart options for displaying complex data in user-friendly, easy-to-follow formats.
New Business Rules Documentation Protocol!
The Business Rules Documentation Protocol is a customizable Excel workbook states can use for documenting, recording, and communicating existing business rules or data quality validation checks they perform during the collection and validation of IDEA Part B and Part C data.
New Launched Webpage—Pre-submission Edit Check Tools for IDEA 618 Data
These Pre-submission Edit Check Tools help states prepare their Part C and Part B data submissions.
The Interactive Public Reporting Engine
The Interactive Public Reporting Engine provides an interactive way for states to meet federally mandated IDEA data public reporting requirements.
View our featured videos here or access the complete collection in our Videos section.
The Story of Data: An Early Childhood Tale
The Importance of High-Quality IDEA Data
The Story of Data: A Special Education Tale
The Resource Library houses tools and products developed by IDC, developed with its collaborators, or submitted by IDC stakeholders.
The Latest Updates from IDC
The Winter 2019 IDC newsletter announces the launch of IDC’s newest Virtual Interactive Meeting (VIM), What Else Can Your IDEA Data Tell You? Making the Most of the Data You Have and the release of a new tool, the Business Rules Documentation Protocol. Readers will also learn about Colorado Part B’s revision of its parent survey and find out how a cross-center technical assistance team supported Florida Part C staff with their State Systemic Improvement Plan.
Using data that are of questionable quality is worse than using no data at all.
Data that are not timely, accurate, and complete paint an incorrect picture of the reality you want the data to describe.
Thus, using flawed data undermines decisionmaking processes and results in decisions that are poorly aligned with the problems they are trying to address.
And, decisions based on flawed data may do more harm than good.