Credential Exchange Platform Ingestion and Verification
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Solution Overview
Problem
Current credential verification systems are inefficient due to delays in communication and processing with credentialing authorities, and they often provide outdated credential information, making it challenging to verify credentials in a timely and accurate manner, especially when updating or purchasing credential information.
Innovation Solution
A centralized exchange platform that ingests credential data in native formats, converts it into a markup language format, and aligns it with host and client requirements, using cryptographic hashing and distributed ledgers to ensure timely and accurate verification, while allowing for real-time searching and transaction execution based on client requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct communication with credentialing authority is used for verification, then verification accuracy is improved, but verification time increases
Solution Approach 1:
The system pre-converts credential data into standardized markup language formats and stores them in a centralized exchange platform before verification requests arrive. This preliminary preparation eliminates the need for real-time communication with credentialing authorities during verification, thus reducing verification time while maintaining accuracy through pre-validated data.
Solution Approach 2:
A centralized exchange platform acts as an intermediary between credentialing authorities and verification systems. The platform receives, standardizes, and stores credential data in resolvable formats, allowing verification requests to be fulfilled without direct communication with the original credentialing authority, thereby reducing verification time while preserving data accuracy.
2Reliability
If credential data is stored in native file formats, then data integrity is improved, but data usability across different systems worsens
Solution Approach 1:
The system transforms credential data from various native file formats into a standardized markup language format with a resolvable data structure. This parameter change in data representation maintains the integrity of the original credential information while enabling universal usability across different systems and platforms through standardization.
Solution Approach 2:
The centralized exchange platform creates a universal data structure using markup language that can represent credentials from multiple source formats. This standardized structure serves multiple functions: preserving original data integrity, enabling cross-system compatibility, and supporting various verification queries, thus achieving both data integrity and broad usability.
3Measurement precision
If comprehensive credential verification is performed, then verification accuracy is improved, but processing complexity increases
Solution Approach 1:
The verification process is segmented into distinct stages: data ingestion in native formats, conversion to standardized markup language, validation against a resolvable data structure, and storage in a centralized platform. This segmentation reduces processing complexity by breaking down comprehensive verification into manageable, automated steps while maintaining high verification accuracy through systematic validation.
Data Source
AI summary
A method for selective data ingestion into an exchange platform for verified credentials includes receiving credential data associated with first users (participants) in native file formats. For each participant, the received credential data is converted into a first participant credential set (PCS) according to a markup language format and having a source-independent data structure, and the first PCS is transformed into a second PCS having a data structure resolvable against a host template comprising a data set of minimum requirements. The second PCS for the respective participant is discarded if it fails to conform after being resolved against the host template, or otherwise cryptographically hashed and instantiated as a searchable object in an underlying persistence layer. A query is receiving from a second user (buyer), the query comprising search parameters, wherein each of the qualifying second PCS from the participants are further programmatically reviewed against the query.