Immutable Data Lineage Using Blockchain for Regulatory Compliance

  • Authors

    • Dr. Stephen Cook Professor, Carnegie Mellon University, United States. Author
    • Dr. Alan Perlis Professor, Yale University, United States. Author

    DOI:

    https://doi.org/10.67228/30715717/IJDEIC-2022PII1Y7N

    Published 06-12-2022

  • Blockchain, Data Lineage, Regulatory Compliance, Immutability, Smart Contracts, Data Governance, Audit Trails, GDPR, Decentralized Systems, Data Provenance

    Issue

    Vol. 5 No. 2 (2022)

    Section

    Articles

    How to Cite

    [1]
    S. Cook and A. Perlis, “Immutable Data Lineage Using Blockchain for Regulatory Compliance”, IJDEIC, vol. 5, no. 2, pp. 01–14, Jun. 2022, doi: 10.67228/30715717/IJDEIC-2022PII1Y7N.

  • Abstract

    In today’s data-driven enterprises, ensuring the accuracy, integrity, and traceability of data across its lifecycle is paramount for regulatory compliance. Traditional data lineage solutions often fall short in offering tamper-proof, transparent, and verifiable records, leading to risks in audits and legal scrutiny. This paper proposes a novel approach to implementing immutable data lineage using blockchain technology, leveraging its core properties immutability, decentralization, and transparency to build a robust framework for regulatory data governance. We present a blockchain-based architecture that records lineage events, transformations, and metadata via smart contracts and immutable ledgers, ensuring end-to-end traceability. Through illustrative use cases in finance, healthcare, and supply chains, we demonstrate how this approach enhances trust, reduces compliance costs, and enables real-time auditability. The paper also discusses implementation strategies, security considerations, and limitations, paving the way for future advancements in trustworthy data governance.

  • References

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