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Decentralized Data Governance, Provenance and Reliability V2
Ntalaperas, Dimitris

Decentralized Data Governance, Provenance and Reliability V2

Author / Organization:
Science & Mathematics Published 2024 2368.3 KB Verification Pending

Overview & Synopsis

This deliverable presents the second iteration of the AI4Gov Decentralised Data Governance (DDG) model, focusing on the implementation of mechanisms that ensure data provenance, reliability, and GDPR-compliant privacy within a decentralized architecture. It details the finalized system design and supporting prototypes that enable transparent data governance and the execution of decentralized business processes through smart contracts, while introducing a redesigned, citizen-centric approach that facilitates participation in open and collaborative governance processes. The document outlines key architectural improvements, including the adoption of decentralized identity frameworks and the integration of Digital Autonomous Organization (DAO) principles for self-governed units. It further discusses the updated technology stack, system functionalities, and relevant regulatory considerations, providing a validated and extensible framework for trustworthy, participatory, and privacy-preserving data governance in AI-driven public-sector applications.

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Document Information

Document Title Decentralized Data Governance, Provenance and Reliability V2
Author / Organization Ntalaperas, Dimitris
Subject & Discipline Scientific Research & Data
Categories Science & Mathematics
Publication Year 2024
License / Rights cc-by-4.0
Resource Verification Listed PDF (Verification Pending)
Original Host Website Zenodo (zenodo.org)
File Format application/pdf (Portable Document Format)
Reported File Size 2368.3 KB (2,425,177 bytes)
Language EN
Catalog ID DOC-17258
Original Source Link Visit Source Page on zenodo.org »