Bio-accessioning System for Secure Genomic Data Management
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Solution Overview
Problem
The challenge lies in securely and efficiently managing biological user data in a network environment, particularly in genomic services where different network devices with varying access privileges and security protocols need to function together to provide personalized services while maintaining user privacy.
Innovation Solution
A bio-accessioning system generates scannable codes on biological items, translates them into item identifiers, and uses these identifiers to verify corresponding network accounts, creating a user interface that indicates which items lack accounts without exposing identifying data, ensuring secure accessioning and data management across multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If genomic data is made accessible to multiple network devices with different access privileges, then service versatility and user convenience are improved, but security risks and data privacy vulnerabilities increase
Solution Approach 1:
The patent segments access control by creating distinct access levels (read-only, read-write, administrative) for different user roles. Each user receives customized views of genomic data based on their authorized access level, allowing multiple network devices to access data with appropriate privileges while maintaining security boundaries.
Solution Approach 2:
The system introduces an intermediary access control layer between network devices and genomic data. This intermediary validates authentication credentials, determines appropriate access levels, and filters data transmission to ensure users only receive data within their authorized scope, thus securing data while enabling versatile access.
2Loss of information
If comprehensive genomic data is provided to users, then service personalization and data completeness are improved, but information security and privacy protection are compromised
Solution Approach 1:
The patent applies local quality by providing different data completeness levels to different users based on their specific authorization. Each user receives a customized subset of genomic data appropriate to their role and consent permissions, ensuring data completeness for authorized users while inherently protecting privacy by excluding sensitive portions from unauthorized access.
Solution Approach 2:
The system dynamically adjusts data accessibility based on user authentication results and consent preferences. Access permissions are not static but adapt according to user identity, data sensitivity, and consent status, allowing comprehensive data access for authorized users while automatically restricting sensitive information for others.
3Reliability
If strict access control measures are implemented, then data security is improved, but system complexity and operational overhead increase
Solution Approach 1:
The patent implements a universal authentication and authorization framework that handles multiple access control scenarios through a single integrated system. This multi-functional approach manages user authentication, role-based access control, and data filtering through unified mechanisms, reducing system complexity compared to implementing separate control systems for different access levels.
Solution Approach 2:
The system incorporates self-service elements where users can manage their own consent preferences and access permissions through standardized interfaces. This reduces operational overhead by allowing users to control their own data accessibility rather than requiring manual administrative configuration for each access scenario.
4Reliability
If user authentication and verification processes are enhanced, then access security is improved, but processing time and operational efficiency decrease
Solution Approach 1:
The patent performs preliminary authentication and authorization verification before granting data access. By validating user credentials and determining access levels in advance of actual data retrieval operations, the system ensures security requirements are met while allowing subsequent data access operations to proceed efficiently without repeated verification overhead.
Data Source
AI summary
A biological sample system that efficiently images and registers codes corresponding to biological samples depicted in an image. The biological sample system can implement a neural network to detect the codes individually, and further translate each code into an item identifier. The item identifiers are correlated with network server accounts and a user interface can depict the biological samples with data indicating their registration state.


