Cloud-Based Genomic Data Access Management System
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Solution Overview
Problem
The analysis of human genetic data holds promise for understanding diseases and drug discovery, but launching genetic products is expensive, complicated, and time-consuming, and there are concerns about genetic data sharing and oversight.
Innovation Solution
A cloud-based system and method for secure, efficient, and convenient access management and clustering of genomic, phenotype, and diagnostic data, allowing multiple users and entities to access and share data while ensuring security and oversight.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If genetic data is shared among multiple users and entities, then scientific discovery is accelerated and cost efficiencies are improved, but concerns about data security and oversight arise
Solution Approach 1:
The patent introduces a cloud-based computer system as an intermediary platform that mediates data sharing between multiple users and entities. This centralized system manages access controls, authentication, and data transmission protocols, enabling secure collaboration while maintaining oversight. The intermediary architecture allows scientific communities to share genetic data for accelerated discovery without compromising security, as the system enforces permission policies and audit trails.
Solution Approach 2:
The cloud-based system provides universal access management capabilities that serve multiple functions: data storage, access control, authentication, authorization, and oversight monitoring. This multi-functional platform enables diverse users (researchers, clinicians, developers) to securely share and access genetic data through a single standardized interface, resolving the contradiction between broad data sharing and security maintenance.
2Reliability
If genetic products are launched through traditional methods, then product reliability is ensured, but the process becomes expensive, complicated, and time-consuming
Solution Approach 1:
The patent implements preliminary action by pre-establishing a cloud-based infrastructure with integrated access management, data clustering capabilities, and security protocols before product development begins. This pre-configured platform eliminates the need for lengthy setup and compliance processes during product launch, allowing developers to rapidly deploy genetic products while maintaining reliability through pre-validated security and data management frameworks.
3Reliability
If access management is restricted to maintain security, then data protection is improved, but data sharing and collaboration are hindered
Solution Approach 1:
The patent implements dynamic access management where permissions, authorization levels, and data visibility are not fixed but can be adjusted in real-time based on user roles, data sensitivity, and collaboration needs. The cloud-based system allows administrators to dynamically grant or revoke access, modify permission policies, and adapt security parameters without compromising overall data protection or hindering legitimate collaboration.
Data Source
AI summary
The present disclosure provides systems and methods for facilitating secure and convenient genetic data exchange among different users. A computer-implemented method for cloud-based genomic, phenotype, or diagnostic data access among a plurality of digital computers may comprise a first digital computer of a first user and a second digital computer of a second user, comprising: (a) providing a cloud-based computer system comprising a network interface that is in network communication with the first and second digital computers; (b) through the network interface, receiving a request from the first digital computer to provide the second user access to a set of genomic, phenotype, or diagnostic data, which set of genomic, phenotype, or diagnostic data is generated from processing biological samples of a subject; and (c) subsequent to receiving said request in (b), permitting the second user to access at least a subset of the set of genomic, phenotype, or diagnostic data through the second computer.