Blockchain Data Structure for Owner-Controlled Access and Compensation
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Solution Overview
Problem
Individuals lack control and compensation for their data, as companies freely share and monetize personal information without consent or compensation, leading to privacy concerns and loss of ownership.
Innovation Solution
Implementing a data structure that encapsulates access limits and ownership rights within the data itself, using blockchain technology to securely store and manage data portions with tokens and scripts, ensuring that data owners can control access and monetization, and automating permission processes through encrypted homomorphic encryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is freely shared and monetized by companies, then productivity and economic value are improved, but data owners lose control and compensation for their information
Solution Approach 1:
The patent introduces a blockchain-based intermediary system that mediates between data owners and data users. Smart contracts act as automated intermediaries that enforce data access rules, track usage, and ensure compensation to data owners without requiring direct negotiation or trust between parties. This resolves the contradiction by enabling efficient data monetization while maintaining owner control through the intermediary blockchain infrastructure.
Solution Approach 2:
The system implements feedback mechanisms where data usage is tracked and monitored through blockchain records. Compensation is automatically反馈 to data owners based on actual usage metrics recorded on the blockchain. This feedback loop ensures that data owners receive appropriate compensation while maintaining control over how their data is used, balancing monetization efficiency with owner rights.
2Ease of operation
If data access is restricted to protect privacy and ownership, then data owner control is improved, but data utility and accessibility deteriorate
Solution Approach 1:
The patent segments data access rights into different levels and types through smart contract configurations. Data owners can grant different permissions to different entities for different purposes, with each access request evaluated against specific criteria. This segmentation allows fine-grained control while maintaining data accessibility for authorized uses, resolving the contradiction between control and versatility.
Solution Approach 2:
The system implements dynamic access control where permissions can be modified, revoked, or adjusted over time through updated smart contracts. Data accessibility is not static but can adapt to changing owner preferences and usage conditions. This dynamic approach maintains owner control while enabling flexible data utility across different scenarios and time periods.
3Reliability
If blockchain technology is used to secure data ownership and access, then data privacy and integrity are improved, but system complexity increases
Solution Approach 1:
The blockchain system operates as a self-service infrastructure where smart contracts automatically enforce access rules and manage compensation without requiring manual intervention or complex external verification. The system self-regulates data access and ownership enforcement through programmed logic, reducing the need for complex external management layers while maintaining high reliability and integrity.
4Ease of operation
If smart contracts automate permission processes, then ease of operation is improved, but loss of information increases due to automated decision-making
Solution Approach 1:
The smart contracts incorporate preliminary action by pre-defining access criteria, compensation structures, and permission rules before data access occurs. Data owners configure their preferences and conditions in advance, and the automated system executes decisions based on these pre-established parameters. This approach maintains ease of operation through automation while preserving contextual information by encoding it in the pre-configured contract terms.
Data Source
AI summary
Systems and techniques for data creation limits are described herein. In an example, a data creation limits system is adapted to receive data and split the data into a plurality of portions based on entity interests in each of the plurality of portions. The data creation limits system may be further adapted to generate respective tokens for each portion of the plurality of portions. The data creation limits system may be further adapted to assign an owner to a token of the respective tokens, the token corresponding to a portion of the plurality of portions and assigning the owner based on the owner having an entity interest in creation of the portion. The data creation limits system may be further adapted to generate a script, using the token, for access to the portion. The data creation limits system may be further adapted to save the portion including the token.