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    An IDC Resource

    Format: Presentations

    Moving Data Quality Downstream - Building a Culture of Data Quality at the LEA Level

    Presenters and participants discussed strategies that SEAs can use to help LEAs in collecting section 618 and other state-required data that is of high-quality. They explored IDC’s Knowledge Lab that lists various resources around different data collections. The Knowledge Lab contains many resources designed to help SEAs and LEAs gather, collect, validate, and report high-quality data. The discussion allowed for state input on how the state uses or can use these resources.

    An IDC Resource

    Format: Trainings

    The Importance of High-Quality Data and the Role of Business Rules

    The Importance of High-Quality Data and the Role of Business Rules instructional video provides a brief introduction to the concept of using business rules to promote and support the collection of high-quality data within state and local systems for IDEA Part B and C.

  • An IDC Resource

    Format: Trainings

    Incorporating Business Rules Into State Data Systems

    The Incorporating Business Rules Into State Data Systems instructional video explores the different ways Part B and Part C state agencies can incorporate business rules into their IDEA state data collection and reporting systems.

    An IDC Resource

    Format: Applications and Spreadsheets

    Business Rules Documentation Protocol

    The Business Rules Documentation Protocol is a customizable Excel template that 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 data.

    An IDC Resource

    Format: Applications and Spreadsheets

    Data Sources for Calculating Significant Disproportionality

    Data Sources for Calculating Significant Disproportionality provides a summary of the data needed to calculate significant disproportionality for identification, placement, and discipline.  For each category of analysis, this resource  provides a description of the data needed to calculate the risk numerator and risk denominator,  and notes the relevant EDFacts file specifications, including which subtotals or category sets, as appropriate. 

    An IDC Resource

    Format: Applications and Spreadsheets

    IDEA Part B Data Manager Competencies

    The IDEA Part B Data Manager Competencies tool outlines foundational knowledge and skills necessary for typical data manager roles and responsibilities. The competencies reflect principles for effective management, support, and use of high-quality IDEA Part B data and fall under one of three overarching categories: content knowledge and skills, technical knowledge and skills, and interpersonal skills.