Data Consent Manager for Privacy Compliance and Sharing Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current data sharing practices face challenges in balancing individual privacy with the need for data access in fields like medical research, as organizations hesitate to share data due to fear of non-compliance with data protection laws, leading to delays in treatment development and other sectoral benefits.
Innovation Solution
A method and system for managing consent, where data subjects' preferences are stored and compared against data share requests, allowing for secure and efficient sharing by categorizing requestors and data types, and providing a user interface for data subjects to manage their preferences centrally through a data consent manager.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data controllers share data freely to benefit medical research and big data applications, then the value and accuracy of findings improve, but data privacy compliance and security control deteriorate
Solution Approach 1:
The patent introduces a consent manager as an intermediary system between data subjects and data controllers. This mediator automatically manages consent preferences, receives data sharing requests, compares them against stored preferences, and instructs data controllers accordingly. This resolves the contradiction by enabling efficient automated data sharing while maintaining privacy compliance through the intermediary's mediation of consent verification.
2Reliability
If data controllers implement strict data protection measures to comply with legislation, then data privacy security improves, but data sharing capability and research progress deteriorate
Solution Approach 1:
The system enables data subjects to self-manage their consent preferences through the consent manager. Data subjects can store, update, and control their own data sharing preferences without requiring manual intervention from data controllers. This self-service approach maintains strict privacy security through automated consent verification while eliminating the need for manual compliance checks that would hinder data sharing capability.
3Ease of operation
If manual consent management processes are used for each data sharing request, then individual privacy control is maintained, but processing time and operational complexity increase
Solution Approach 1:
The consent manager stores data subject preferences in advance before any data sharing requests are made. By pre-processing and storing consent preferences, the system eliminates the need for manual consent verification at the time of each data sharing request. This preliminary action maintains individual privacy control while dramatically reducing request processing time through automated comparison of pre-stored preferences against incoming requests.
4Measurement precision
If data subjects provide detailed consent preferences for multiple data controllers, then privacy control precision improves, but system complexity and data management overhead increase
Solution Approach 1:
The consent manager serves multiple functions within a single system: storing preferences, receiving requests, comparing consent data, and instructing data controllers. This multi-functional universal system handles detailed consent preferences for multiple data controllers without requiring separate management systems for each controller. The universal design maintains precision in consent control while reducing overall system complexity by consolidating multiple functions into one integrated platform.
Data Source
AI summary
A computer implemented method of managing consent for sharing data, the method comprising: storing data sharing preferences for a data subject in relation to data held by a plurality of data controllers; receiving a data share request from a requestor to obtain personal data relating to the data subject and held by one or more of the data controllers; comparing the data share request to the data sharing preferences of the data subject; and for each of the one or more data controllers: instructing the one or more data controllers to share the personal data with the requestor, or rejecting the data share request, in dependence on the comparison.