This document discusses best practices for maintaining data integrity when tracking security incidents in a records system. It emphasizes that data integrity relies on clean and well-defined record categories, internal review procedures to ensure accuracy, metrics and oversight, and external visualization of incident data. Specific recommendations include carefully selecting a limited number of high-level categories; customizing the system without unnecessary fields; establishing a review workflow; using flags and assignments; generating custom queries; and exporting data for detailed analysis in Tableau.