Data Privacy Preference Management Across Evolving Regulations
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Solution Overview
Problem
Current data privacy protections are sector-specific and lack comprehensive mechanisms for enhanced control and consent management across different types of personal information, failing to adapt to evolving data usage regulations.
Innovation Solution
A data privacy management system and method that allows users to set and manage information sharing preferences through a computing system, enabling selective control of data use by third-party entities and providing transparency into data usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sector-specific data privacy protections are implemented, then compliance with specific industry regulations is improved, but comprehensive data privacy control and adaptability to evolving regulations deteriorate
Solution Approach 1:
The patent implements a universal data privacy management system that can handle multiple types of personal information (financial, health, education, children's data) through a single platform. The system provides comprehensive consent management, data access controls, and privacy preferences that work across different sectors, eliminating the need for separate sector-specific systems while maintaining compliance with various regulations.
Solution Approach 2:
The system dynamically adapts to evolving privacy regulations and user preferences through real-time updates to consent management policies. The architecture allows for flexible modification of data sharing rules, access controls, and privacy settings without requiring system reconfiguration, enabling continuous compliance with changing legal requirements.
2Ease of operation
If comprehensive data privacy controls are implemented, then user control over personal information is improved, but system complexity and implementation difficulty worsen
Solution Approach 1:
The patent introduces a centralized data privacy management system that acts as an intermediary between users, data collectors, and data processors. This intermediary handles complex consent management, data access requests, and privacy policy enforcement, simplifying the user interface while managing the underlying complexity through automated processes and standardized protocols.
Solution Approach 2:
The system implements automated consent management where users can set their privacy preferences once, and the system automatically applies these preferences across multiple data collection scenarios. Automated data access controls and consent verification processes reduce the need for manual intervention, simplifying operation for both users and administrators.
3Loss of information
If real-time data usage tracking is implemented, then user transparency and trust are improved, but processing overhead and system resource consumption worsen
Solution Approach 1:
The patent implements a data usage tracking system that creates copies of metadata about data access and usage events, rather than tracking the actual data itself. The system monitors and logs information about who accessed what data and when, providing users with transparency about data usage patterns while minimizing processing overhead by working with lightweight metadata records instead of the full data sets.
Data Source
AI summary
A data privacy management system and method are provided. The method includes providing at least one processor, at least one memory device including readable instructions, and at least one user device in communication with the at least one processor via a network connection; receiving at least one information sharing preference and at least one communication request related to user data from a user, and transmitting the information sharing preference and/or communication request to at least one third-party entity to provide enhanced data privacy protection and control to the user.