DATA QUALITY AND GOVERNANCE IN THE ERA OF BLOCKCHAIN: DEVELOPING BEST PRACTICES FOR SECURING, VALIDATING, AND MANAGING DISTRIBUTED DATA SYSTEMS

Valerie Antonin Jonas

DATA QUALITY AND GOVERNANCE IN THE ERA OF BLOCKCHAIN: DEVELOPING BEST PRACTICES FOR SECURING, VALIDATING, AND MANAGING DISTRIBUTED DATA SYSTEMS

Authors

Valerie Antonin Jonas

Blockchain Data Quality and Governance Specialist, United States.

Keywords:

Blockchain, Data Quality, Data Governance, Distributed Systems, Validation, Provenance, Trustless Networks, Smart Contracts, Compliance, Security

Synopsis

Blockchain technology, known for its decentralized, immutable, and transparent nature, has redefined the paradigms of data governance. This paper explores how blockchain's distributed architecture reshapes traditional data quality mechanisms, offering new tools and challenges in managing data across trustless systems. We analyze the intersection of blockchain with core governance functions, including data validation, access control, provenance tracking, and regulatory compliance. This paper proposes a framework for best practices in data quality assurance within blockchain systems. We argue that blockchain's promise of trust and decentralization can only be realized through robust data governance strategies tailored to its unique infrastructure.

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Published

November 5, 2025

Series

Research paper

License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.