Local Data Quality

Overview

Local data quality—defined by the accuracy, completeness, consistency, and validity of information collected by school districts—is essential for meeting IDEA’s reporting requirements. When local data are strong, school districts can strengthen their data-based decision making. Additionally, states can confidently report on outcomes, identify areas for improvement, and ensure that students with disabilities receive the services and support they need.

Data Use

Local data provide an important foundation for many state and federal reporting requirements and activities, including

  • SPP/APR indicators
  • 618 data collections
  • General Supervision, including LEA Determinations
  • Special education programming

 

Local Data Quality Stories

IDC works with states engaged in efforts to improve the quality of data at the LEA level. Here are some stories to illustrate those efforts.

Targeted TA Services

Foundational Resources

IDC designed these foundational resources to support data-driven decisionmaking and compliance. Our expert tools and strategies help users enhance special education outcomes with confidence.

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We're Here to Help!

Our team is ready to guide you through anything to do with helping you improve your local data quality. Reach out to us – we’re here to support you!

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Our technical assistance team brings with it unparalleled experience and the ability to do what it takes to help address your individual needs and concerns, whatever they might be.

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