Dr. Carole Clancy shares lessons learned to help special education directors streamline data reporting processes. She outlines steps before, during, and after data collection to ensure accuracy and compliance
Preventive measures and proactive steps to simplify data reporting and minimize errors are discussed. Developing basic Excel skills, fostering strong collaboration with district and IU data managers, and understanding the key data points and their sources are key in this work.
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Preventative Measures
Prior to the Extraction of Data
Aligning data between student information systems and special education management systems to ensure accuracy is key. Dr. Clancy demonstrates the use of tools in Excel, VLOOKUP and pivot tables, to efficiently identify discrepancies across large datasets and make corrections directly in systems to support a clean data extract. This systematic approach minimizes inconsistencies, ensures data integrity, and streamlines the process for a successful final submission.
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The importance of post-submission data review to resolve errors like mismatched codes, duplicates, and classification issues are discussed. Accurate data is essential for compliance, funding, and reflecting district performance
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Early preparation, collaboration with key team members, and ensuring accurate data submissions to support compliance and effective reporting.