Personal Information Manager for Cross-Platform Data Control
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Solution Overview
Problem
The increasing difficulty in managing and updating personal data across various entities and environments, as personal data becomes more public and difficult to control, leading to concerns about accuracy and improper usage.
Innovation Solution
A system and method for discovering, tracking, and managing personal information throughout its lifecycle across multiple applications and web-based environments, utilizing a universal client with a user interface for visualization, data connectors for collection, data curation, synchronization services, and modules for normalization, certification, fraud detection, and control signal generation to ensure data accuracy and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If personal data is made more public and shared across multiple entities, then data availability and connectivity improve, but data control and management difficulty worsen
Solution Approach 1:
The patent introduces a personal information manager as an intermediary system that sits between the user and multiple data entities. This manager automatically discovers, tracks, and manages personal data across various applications and web environments, eliminating the need for users to directly manage complex data relationships while maintaining data availability across multiple platforms.
Solution Approach 2:
The system enables self-service by automatically discovering and tracking personal data across multiple entities without requiring user intervention. The manager autonomously monitors data releases, updates, and access patterns, allowing users to benefit from centralized data management while the system handles the complexity of multi-entity coordination.
2Loss of information
If data is tracked across multiple applications and environments, then data completeness improves, but system complexity increases
Solution Approach 1:
The personal information manager is designed as a universal system that can track and manage data across multiple applications, web environments, and data entities simultaneously. This multi-functional approach allows a single system to handle diverse data sources and update patterns, improving data completeness without requiring separate tracking mechanisms for each platform.
Solution Approach 2:
The system segments data management into discrete functional components: discovery mechanisms that identify data across platforms, tracking modules that monitor data releases and updates, and synchronization services that coordinate changes. This segmentation allows complex multi-application data tracking to be broken down into manageable, independent functions.
3Measurement precision
If users manually manage data across multiple platforms, then data accuracy control improves, but time consumption increases
Solution Approach 1:
The system implements continuous feedback loops where the personal information manager automatically monitors data releases, updates, and access patterns across multiple platforms. This feedback mechanism enables real-time detection of data changes and automatic coordination of updates, ensuring data accuracy without requiring users to manually check or synchronize information across platforms.
Solution Approach 2:
The discovery and tracking components perform preliminary actions by continuously monitoring and identifying data releases before they become problematic. The system proactively tracks data updates and coordinates synchronization in advance, preventing data inconsistencies rather than requiring reactive manual intervention to maintain accuracy.
Data Source
AI summary
A method and system for managing personal data is provided as a means to increase the efficiency and effectiveness of personal data access, approval and curation across multiple content sources. The method and system accomplishes this by discovering, identifying, collecting normalizing personal information from content sources then alerting the user to any identifiable use of their personal information and allowing the user to directly dictate personal information use policies and manually control individual personal data attributes on multiple content platforms.