Date of Award

5-23-2025

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Computer Science

First Advisor

John Talburt

Abstract

Master Data Management (MDM) is essential for maintaining data quality, accuracy, consistency, and governance within organizations. However, traditional centralized MDM systems continue to face challenges related to data integrity, security, and scalability. This research presents a blockchain-enabled MDM framework designed to overcome these limitations by leveraging blockchain’s decentralized, immutable, and secure architecture. The study aims to identify and address the shortcomings of conventional MDM practices, examine the applicability of blockchain technology in enhancing these systems, and develop a functional prototype to validate the proposed model. The framework incorporates decentralized review mechanisms that improve auditability and ensure trusted data verification by authorized users. Using a design science approach, we implemented a Hyperledger-based prototype on Google Cloud Platform and conducted a quantitative analysis to evaluate performance, cost, and accuracy, including ��1 score-based duplicate detection. Findings demonstrate that permissioned blockchain networks can significantly enhance the security, scalability, and efficiency of MDM systems, offering both practical solutions and theoretical advancements for future enterprise data management.

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