This presentation introduces the Student Data Warehouse (SDW) Anonymized Dataset, focusing on its role in research and analytics while ensuring student privacy. The discussion covers the methods used to de-identify student information, including tokenization, masking, and perturbation, with before-and-after examples illustrating data obfuscation techniques.
Additionally, the presentation outlines the different user roles within the SDW, explaining their access levels to anonymized data and visualization tools like Tableau. It also introduces a proposed KSAMS approval workflow for access management and provides insights into upcoming steps to enhance data security and streamline access request processes in compliance with FERPA regulations.
Link to Presentation: SDWAnonymizedData_Compass Presentation_2-14-25
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