PoC 1 Data Quality Validation System: Difference between revisions

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This PoC proposes the development of a functional, open-source toolset to validate and score dataset quality based on the standardized Data Quality Metrics and verification formulas defined in ETSI TR 104 180 (Development and identification of Data Quality Metrics). The PoC will deliver a working, end-to-end pipeline demonstrating the automated assessment of data quality for a target dataset.
This PoC proposes the development of a functional, open-source toolset to validate and score dataset quality based on the standardized Data Quality Metrics and verification formulas defined in ETSI TR 104 180 (Development and identification of Data Quality Metrics). The PoC will deliver a working, end-to-end pipeline demonstrating the automated assessment of data quality for a target dataset.


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== PoC Proposal ==
== PoC Proposal ==
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== PoC Report ==
== PoC Report ==
PoC Report is expected in Q1 2026, and,
PoC Report is expected in Q1 2026, and
 
PoC Report is expected in Q3 2026
PoC Report is expected in Q3 2026

Revision as of 13:04, 15 January 2026


Ongoing PoCs


PoC Team

  • Sejong University (SJU)
  • EGM
  • TTA
  • Daejeon University (DJU)
  • CNIT

Main Contact

Jaesong Song , Sejong University , [1]

Abstract

This PoC proposes the development of a functional, open-source toolset to validate and score dataset quality based on the standardized Data Quality Metrics and verification formulas defined in ETSI TR 104 180 (Development and identification of Data Quality Metrics). The PoC will deliver a working, end-to-end pipeline demonstrating the automated assessment of data quality for a target dataset.

PoC 1 Data Quality Validation System

PoC Proposal

PoC 1 Data Quality Validation System


PoC Topics

This PoC is working on:

PoC Report

PoC Report is expected in Q1 2026, and

PoC Report is expected in Q3 2026