Personal Data Quality Assessment via Dual-Token Verification
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Solution Overview
Problem
Existing methods for acquiring personal data often result in low-quality data due to incompleteness or incorrect values, making it difficult for data users to utilize the data effectively.
Innovation Solution
A system that includes a server device capable of receiving data requests with attribute information and quality requests, issuing tokens to assess data quality and obtain consent from data owners, and verifying these tokens to ensure high-quality data acquisition, utilizing a consent portal server and resource server to manage data owner consents and quality information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If personal data is distributed using OAuth2.0 and UMA2.0 consent methods, then user consent is obtained, but data quality becomes low due to incompleteness or incorrect values
Solution Approach 1:
The patent applies preliminary action by evaluating data quality before distribution. The system assesses data quality metrics (completeness, accuracy, reliability) prior to transferring personal data to data users, ensuring that only high-quality data meeting predetermined standards is distributed. This prevents low-quality data from being transferred in the first place.
Solution Approach 2:
The patent implements feedback mechanisms where data quality evaluation results are communicated back to data providers and users. The system provides quality assessments and feedback loops that allow continuous improvement of data quality, enabling data providers to understand and correct issues with their data before distribution.
2Reliability
If data quality evaluation is performed before data retrieval, then high-quality data can be acquired, but system complexity increases due to additional verification processes
Solution Approach 1:
The patent applies segmentation by dividing the data distribution system into distinct functional components: data providers, data users, and a separate data quality evaluation system. The quality evaluation function is segmented as an independent module that can assess data quality without being integrated into the core data transfer mechanisms, thereby reducing overall system complexity while maintaining reliability.
Solution Approach 2:
The patent introduces an intermediary data quality evaluation system that mediates between data providers and data users. This intermediary component handles the complex quality assessment tasks, allowing the primary data distribution system to remain relatively simple while still achieving high-quality data transfer through the intermediary's verification processes.
Data Source
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AI summary
A server device includes a receiver and first through third processors. The receiver receives a data request transmitted from a client device via a resource server. The data request includes attribute information, a data item and a quality request. The first processor transmits, to the client device, a first token for requesting quality information indicating a quality of personal data corresponding to the attribute information and the data item and a second token for requesting the personal data. The second processor transmits, to the resource server, identification information of a data owner who has consented to providing personal data pertaining to the data item and corresponds to the attribute information when the server device receives the first token from the resource server. The third processor transmits a verification result for the second token to the resource server when the server device receives the second token from the resource server.