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USPTO Patent US12585625B2: Metadata-Driven Data Quality Framework

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Published March 24th, 2026
Detected March 24th, 2026
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Summary

The USPTO has granted patent US12585625B2 to Genworth Holdings, Inc. for a Metadata-Driven Data Quality Framework and Engine. This patent enables dynamic code generation for data quality assessment based on metadata, supporting enterprise-scaled data governance programs.

What changed

The United States Patent and Trademark Office (USPTO) has granted patent US12585625B2, titled 'Metadata-Driven Data Quality Framework and Engine,' to Genworth Holdings, Inc. The patent describes a system and method for dynamically generating code to assess data quality using metadata, aiming to enhance data governance within enterprise applications. This innovation integrates with metadata management processes to incorporate user understanding into automated data quality checks.

This patent grant is primarily an intellectual property event and does not impose new regulatory obligations on businesses. However, companies involved in data management, data governance, or developing AI/ML solutions may find the patented framework relevant for their internal processes or product development. Compliance officers should note this as a development in the AI and data quality technology landscape, particularly for entities operating under strict data governance requirements.

Source document (simplified)

← USPTO Patent Grants

System and method for implementing a data quality framework and engine

Grant US12585625B2 Kind: B2 Mar 24, 2026

Assignee

Genworth Holdings, Inc.

Inventors

Christopher Corrigan, Atul Saurav

Abstract

An embodiment of the present invention is directed to a Metadata-Driven Data Quality Framework and Engine that enables dynamic generation of code for assessing data quality based on qualified metadata content. The Data Quality Framework may be directed to an enterprise scaled application that embodies Data Quality disciplines for good/optimal Data Governance. An embodiment of the present invention may be integrated into a Metadata Management process of an overall Data Governance Program so the data user's meaning and understanding may become part of the automated data quality process.

CPC Classifications

G06F 16/13 G06F 16/24 G06F 16/156 G06F 3/1297 G06N 3/00 G06N 5/00 G05B 13/00 H03M 7/30 H04N 9/8042 G06T 9/00

Filing Date

2024-06-13

Application No.

18742058

Claims

20

View original document →

Named provisions

Metadata-Driven Data Quality Framework and Engine

Classification

Agency
USPTO
Published
March 24th, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US12585625B2

Who this affects

Industry sector
5182 Data Processing & Hosting 5112 Software & Technology
Activity scope
Data Quality Management
Geographic scope
United States US

Taxonomy

Primary area
Financial Services
Operational domain
IT Security
Topics
Data Governance Artificial Intelligence

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