Data Sharing System for Collaborative Product Development
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Solution Overview
Problem
In collaborative product development processes, data inconsistencies arise due to simultaneous editing by multiple entities, leading to logical corruption and unreliability, as different groups work on project components without proper data management.
Innovation Solution
Implementing a data sharing system that separates data into locked and unlocked sets, where only authorized entities can modify the unlocked data, ensuring data integrity and consistency by defining permissions based on entity hierarchy and function, and integrating changes back into the master data set.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple entities are allowed to edit data simultaneously in collaborative product development, then productivity and collaboration are improved, but data consistency and reliability deteriorate due to logical corruption
Solution Approach 1:
The patent divides the data set into locked and unlocked portions, allowing simultaneous access and editing by multiple entities while preventing logical corruption. The unlocked data can be modified by authorized entities, while the locked data maintains consistency and integrity, resolving the contradiction between collaborative efficiency and data reliability.
Solution Approach 2:
The patent introduces a data management system as an intermediary that controls access to locked and unlocked data portions. This intermediary ensures that multiple entities can collaborate efficiently while maintaining data consistency through controlled access and modification mechanisms.
2Ease of operation
If data is made accessible to multiple entities for collaborative editing, then ease of operation is improved, but data integrity deteriorates due to unauthorized changes
Solution Approach 1:
The patent applies different access qualities to different portions of the data. The unlocked data portion is accessible and modifiable by authorized entities, while the locked data portion maintains integrity and is protected from unauthorized changes. This local differentiation resolves the contradiction between ease of operation and data integrity.
Solution Approach 2:
The patent implements dynamic data access control where the system can transition data between locked and unlocked states based on authorization. This dynamic mechanism allows authorized entities to access and modify data when needed while automatically protecting data integrity when locked, resolving the contradiction between accessibility and integrity.
3Adaptability or versatility
If comprehensive data access is provided to all entities, then adaptability is improved, but device complexity increases due to need for reconciliation processes
Solution Approach 1:
The patent segments data into locked and unlocked portions, which simplifies the data sharing architecture. Authorized entities can access and modify unlocked data without triggering complex reconciliation processes, as the locked data maintains consistent integrity. This segmentation reduces system complexity while maintaining adaptability.
Solution Approach 2:
The patent creates a copy of the data set that can be selectively accessed and modified. This copying mechanism allows entities to work with data independently without requiring complex real-time reconciliation, as each entity works with their own copy of the unlocked portion while the master locked data maintains consistency.
Data Source
AI summary
Methods and apparatus, including computer program products, for sharing information. The technique includes defining a stored data set maintained by a first entity to include a locked data set and an unlocked data set, and providing a second entity with access to the stored data set. The second entity has permission to view the locked data set and to change only the unlocked data set.