User Data Privacy Preferences for Cross-Sector Sharing Control
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Solution Overview
Problem
Current data privacy protections are sector-specific and lack comprehensive mechanisms for enhanced control and protection of personal information, failing to adapt to the evolving landscape of data regulation and user rights.
Innovation Solution
A data privacy management system and method that allows users to set and manage information sharing preferences with third-party entities through a computing system, enabling selective control over data use and providing tools for data transparency and protection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sector-specific data privacy protections are implemented, then compliance with existing regulations is achieved, but comprehensive control and protection of personal information across all sectors is insufficient
Solution Approach 1:
The patent implements a universal data privacy management system that consolidates control over personal information across multiple sectors (health, education, finance, etc.) into a single platform. The system allows users to manage consent preferences, access rights, and data sharing controls universally, eliminating the need for separate sector-specific management mechanisms while maintaining compliance with various regulations through a unified interface.
2Reliability
If existing data privacy mechanisms are used, then basic protection is provided, but enhanced control and transparency over third-party data use is lacking
Solution Approach 1:
The system implements comprehensive feedback mechanisms that provide users with real-time information about how their personal data is being used by third parties. Users receive notifications, consent requests, and usage reports that transparently display data access events, sharing purposes, and recipient entities. This feedback loop enables informed decision-making while maintaining strong data protection through user-controlled preferences.
3Ease of operation
If manual data privacy management is implemented, then basic consent tracking is possible, but efficient control and monitoring of data usage is insufficient
Solution Approach 1:
The patent implements automated self-service mechanisms where the system autonomously manages consent preferences, tracks data usage, and enforces user selections without requiring manual intervention. The system automatically responds to data access requests, updates consent status, notifies users of new data collection activities, and enforces user-defined preferences across multiple third parties, significantly improving both ease of operation and productivity.
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.