Graph Database Privacy by Design Data Management
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Solution Overview
Problem
Existing databases face challenges in managing individual and organizational data due to consistency issues from uncoordinated entry, inefficiencies in utilizing available information, and increasing privacy regulations, particularly in handling non-unique features and ensuring data accessibility and privacy.
Innovation Solution
A graph-based database system that allows users to assign context attributes to data properties, enabling selective sharing and utilizing high-quality metadata from other databases, while ensuring privacy compliance through 'privacy by design' principles, allowing users to control data accessibility and entry methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is entered from multiple sources without coordination, then data coverage increases, but consistency and quality deteriorate
Solution Approach 1:
The system segments data into distinct categories (contact data, profile data, organization data) with specific entry protocols for each type, allowing coordinated multi-source entry while maintaining consistency through category-specific validation rules
Solution Approach 2:
The system implements feedback mechanisms where data quality metrics are monitored and communicated back to entry sources, enabling continuous improvement of data consistency while maintaining high coverage through iterative refinement
2Adaptability or versatility
If all individual information is made accessible, then data utility increases, but privacy protection deteriorates
Solution Approach 1:
The system applies different access control levels to different data properties within the same database, allowing highly sensitive properties to remain restricted while making less sensitive properties broadly accessible, thus achieving both privacy protection and data utility
Solution Approach 2:
The system implements dynamic access controls where data accessibility changes based on context, user credentials, and security policies, enabling the same data to be highly accessible in some contexts and completely restricted in others
3Measurement precision
If manual data entry is required for all fields, then data accuracy increases, but entry efficiency deteriorates
Solution Approach 1:
The system performs preliminary automated validation, formatting, and verification of data fields before final submission, catching errors early and reducing the need for manual correction while maintaining high accuracy standards
Solution Approach 2:
The system implements self-service data entry features including automated population from existing records, intelligent form filling, and self-validation mechanisms that reduce manual effort while maintaining data accuracy
Data Source
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AI summary
The invention relates to data bases for storing and handling data of individuals and organizations, architecture ((graphical) user interfaces, engines) of and methods for operating such databases, (graphical) interfaces suited for use of such databases and methods and underlying technology and related software.