Open Data Reference Model for Interoperable Data Hubs
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Solution Overview
Problem
As data sources and types become more diverse and complex due to industry convergence, existing data management systems struggle to maintain interoperability and standardization, particularly when dealing with unstandardized data and new industries, leading to inefficiencies in data exchange and utilization across institutions.
Innovation Solution
An electronic device and non-transitory computer-readable storage medium that implement an open data reference model management system, which subdivides data into hierarchical categories and uses data hubs to collect, store, and generate data maps based on metadata information, ensuring interoperability across domains and classification systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If institutions apply independent management systems or diverse data standards to manage their data, then each institution can independently share and process data for work progress, but data interoperability with other institutions deteriorates
Solution Approach 1:
The patent segments the classification system into hierarchical categories (first category, second category as upper category, third category as lower category) that can be independently managed while maintaining standardized relationships. Each category can be customized for specific institutional needs while following the overall hierarchical structure, enabling both independence and interoperability.
Solution Approach 2:
The patent creates a universal data map structure that can accommodate multiple data types and classification systems through hierarchical categories. The data map generation mechanism works across different domains (government, military, medical, etc.) by applying the same hierarchical categorization principle, enabling broad compatibility and interoperability.
2Stability of the object's composition
If standardized data stored in relational databases is processed, then the database can be maintained and fixed without major changes in data format, but the system cannot cope with unstandardized data or external data from new industries
Solution Approach 1:
The patent introduces dynamic hierarchical categories that can be added, modified, or extended without changing the core database structure. The classification system allows for new categories to be created at different levels (first, second, third categories) to accommodate emerging data types from new industries while maintaining the stability of the relational database framework.
Solution Approach 2:
The patent implements nested hierarchical categories where third categories are nested within first categories, and second categories serve as upper categories. This nested structure allows detailed, specific data classifications to be organized within broader, stable categories, enabling both structural stability and adaptability to new data types.
3Loss of information
If data sources and data types become more diverse and vast, then more information necessary for understanding and utilizing data can be added, but data interoperability with other institutions deteriorates
Solution Approach 1:
The patent adds a hierarchical dimension to data classification by organizing data into multiple levels (first category, second category as upper category, third category as lower category). This dimensional approach allows comprehensive information to be captured at lower levels while maintaining interoperability through standardized upper category relationships that can be recognized across different institutions.
Data Source
AI summary
Disclosed are an electronic device and a non-transitory computer-readable storage medium. Conventionally, most of institutions, companies, etc. have defined and used their own data standards for the business purposes. Most of the data is stored in relational database in a structured format. Now as convergence between industries, new business and new data increases, an active data management system is becoming necessary. The electronic devices according to the disclosure can provide data hub device providing automatically extendable data management function interworking with an open data reference model management device (an active metadata management). Accordingly, the data hubs can exchange standardized data maps among them so as to quickly adapt to such changes in the open industry environment.