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A Dual-Database Trusted Broker System for Resolving, Protecting, and Utilizing Multi-Sourced Data
Abstract
A longitudinal database structure, which allows for the joining of data between disparate systems and government agencies, is outlined. While this approach is specific to government agencies, many of the ideas implemented are from the commercial world and have relevance to problems associated with data integration in all domains. The goal of the system is to allow for the sharing of data between agencies while upholding the strictest interpretations of rules and regulations protecting individual privacy and confidentiality. The ability to link records over time is central to such a system, so a knowledge-based approach to entity resolution is outlined along with how this system that integrates longitudinal data from multiple sources can still protect individual privacy and confidentiality. Central to this protection is that personally identifiable information should not be proliferated on multiple systems. The system, TrustEd, is a hybrid model that provides the simplicity of a centralized model with the privacy protection of a federated model.
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