Blockchain-Enabled Federated Data Quality Governance Across Organizational Boundaries

Most reviewed data governance frameworks (e.g., Chukwurah et al., 2024; Adepoju et al., 2023) are enterprise-focused, assuming centralized stewardship and trust. Yet, modern data ecosystems—such as supply chains, healthcare consortia, or open science—span organizational boundaries where trust is limited and data quality standards vary. Inspired by emerging mentions of blockchain for transparency (Kumari, 2024; Penchalaiah et al., 2025), this idea proposes a decentralized, smart contract-driven system for cross-org data quality governance. Each stakeholder could record data provenance, quality scores, and remediation actions on a shared ledger, enabling collective enforcement of quality standards, real-time auditability, and incentivized compliance (e.g., via tokens or reputation). This fundamentally challenges the siloed nature of current governance, introducing a new paradigm for collaborative, transparent data stewardship—potentially transformative for global supply chains, federated healthcare, or scientific data commons.

References:

1. Frameworks for effective data governance: best practices, challenges, and implementation strategies across industries. Naomi Chukwurah, Adebimpe Bolatito Ige, Victor Ibukun Adebayo, Osemeike Gloria Eyieyien (2024). Computer Science & IT Research Journal.
2. A data governance framework for high-impact programs: Reducing redundancy and enhancing data quality at scale. Adebusayo Hassanat Adepoju, Blessing Austin- Gabriel, Adeoluwa Eweje, Oladimeji Hamza (2023). International Journal of Multidisciplinary Research and Growth Evaluation.
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4. Improving Global Supply Chain Security and Transparency through Blockchain and IoT Integration with Deep LSTM and RNN. N. Penchalaiah, M. Malathi, Ekaterina Kalinskaya, Vijayalakshmi Senniappan, Sridhar D, Sandeep Gupta (2025). 2025 3rd International Conference on Data Science and Information System (ICDSIS).