Development of a Blockchain-Based System for Secure Biochemical Data Sharing

Thesis Abstract

The increasing volume and sensitivity of biochemical data generated by research institutions, clinical laboratories, and pharmaceutical companies have accentuated the need for secure, efficient, and transparent data sharing mechanisms. Traditional centralized data repositories are susceptible to security breaches, unauthorized access, and data tampering, thereby impeding scientific collaboration and compromising data integrity. This study aims to develop a blockchain-based system that enhances the security, transparency, and control of biochemical data sharing among multiple stakeholders. The specific objectives include designing a blockchain framework tailored for biochemical datasets, evaluating its security features, and assessing its usability and scalability within real-world research environments. Employing a mixed-methods research design, this study combines qualitative system design and quantitative evaluation. The target population comprises 50 research laboratories and bioinformatics institutions engaged in biochemical data exchange across the country. A sample size of 20 institutions was selected using stratified random sampling to ensure representation of different institutional types and sizes. Data collection instruments included semi-structured interviews with system developers and stakeholders to gather insights into data sharing challenges, and a prototype blockchain platform developed using Hyperledger Fabric was subjected to performance testing. Quantitative data from security audits, transaction latency measurements, and user satisfaction surveys (using a 5-point Likert scale) were analyzed using descriptive statistics, t-tests, and analysis of variance (ANOVA) to determine the system’s effectiveness and usability. The study’s findings are expected to demonstrate that the blockchain-based system significantly enhances data security by employing cryptographic hashing, smart contracts, and decentralized consensus mechanisms, thereby reducing unauthorized access and data tampering risks. The system is also anticipated to improve transparency and traceability of biochemical data transactions, fostering greater trust among stakeholders. Performance evaluations are expected to reveal that, with optimized network configurations, the system maintains acceptable transaction throughput and latency for large-scale biochemical datasets. User feedback is projected to indicate high satisfaction regarding data control features and ease of use, validating its practical feasibility. This research contributes novel insights into the application of blockchain technology within the biochemical data management domain, filling existing literature gaps concerning secure data sharing frameworks suitable for sensitive scientific information. It delineates a comprehensive, technically sound model that can be adapted for diverse biomedical data sharing contexts, thus advancing interdisciplinary data governance practices. The integration of blockchain principles with biochemical data workflows presents a transformative approach to addressing persistent data security and collaboration challenges. The main conclusion underscores that blockchain technology, when tailored appropriately, offers a viable solution for ensuring secure, transparent, and decentralized biochemical data sharing, significantly mitigating risks endemic to traditional systems. Accordingly, it is recommended that research institutions and bioinformatics platforms adopt blockchain frameworks to enhance data integrity and stakeholder confidence. Future research should explore the integration of emerging cryptographic techniques such as zero-knowledge proofs to further strengthen privacy guarantees and evaluate long-term system performance in dynamic network environments. Overall, this study establishes a foundational blueprint for leveraging blockchain to revolutionize biochemical data management and promote open yet secure scientific collaboration.