Online Data Verification Using Trusted Steward Endpoints
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing information systems face challenges in verifying the truthfulness of assertions made in online profiles of job candidates, leading to inaccurate and time-consuming candidate identification processes.
Innovation Solution
A computer system with a data verifier that automatically determines the endpoint for a data steward based on characteristics of the data, generates a query, and verifies the data against actual records, providing a visual verification of the data's accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual database searches are performed to verify candidate profiles, then verification accuracy can be improved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The system enables self-service verification by having candidates themselves provide and update their profile data, which is then automatically verified against trusted sources. The verification process is initiated and executed automatically without requiring manual intervention, allowing the system to serve itself in verifying candidate information.
Solution Approach 2:
The patent replaces manual mechanical database searching with automated electronic verification systems. Instead of human operators manually querying databases, the system automatically sends verification requests to trusted data sources, receives responses, and validates candidate profiles through programmatic means, substituting mechanical manual processes with electronic automation.
2Reliability
If third-party search firms are used to verify candidate profiles, then verification reliability improves, but organizational expenses increase
Solution Approach 1:
The system extracts the verification function from external third-party search firms and integrates it directly into the organization's hiring process. By establishing direct connections to trusted data sources (employers, educational institutions, professional organizations), the organization can perform verification internally without relying on expensive external services, thereby reducing expenses while maintaining reliability.
Solution Approach 2:
The patent introduces trusted data sources (employers, educational institutions, professional organizations) as intermediaries between the candidate and the hiring organization. These intermediaries provide verified information directly to the organization through automated verification systems, eliminating the need for expensive third-party search firms while maintaining verification reliability.
3Reliability
If comprehensive background checks are performed on all candidates, then verification accuracy improves, but the candidate identification process becomes more cumbersome
Solution Approach 1:
The verification process is segmented into different levels and types of verification based on candidate needs and position requirements. Not all candidates require the same comprehensive checks; the system can perform basic verification for some candidates and more extensive verification for others, making the process simpler and more flexible while maintaining accuracy where needed.
Solution Approach 2:
The verification process is made dynamic and adaptive rather than static and uniform. The system can adjust the scope and depth of verification based on real-time factors such as candidate qualifications, position requirements, and risk assessments, making the process simpler by avoiding unnecessary verification steps while maintaining accuracy when required.
Data Source
AI summary
A method, apparatus, system, and computer program product provide visual verification of electronic data. The computer system comprises a hardware processor and a data verifier in communication with the hardware processor. The data verifier is configured to execute program code for: receiving a request to verify data listed in an electronic document; determining a set of a characteristics about the data; determining, from the characteristics, an endpoint for a data steward that maintains data records about the data; generating a query from the data; forwarding the query to the endpoint that was determined; in response to receiving a query response, determining whether the query response matches the data; and in response to determining that the query response matches the data, sending a verification of the data.


