Virtual Research Platform for Secure Packetized Data Collaboration
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Solution Overview
Problem
Existing cloud-based file sharing platforms do not enable users to view and analyze proprietary data without compromising the rights of data owners, particularly in collaborative research projects involving sensitive data, due to regulatory and compliance risks, and the need to maintain control over data ownership.
Innovation Solution
A virtual research platform that utilizes automated data curation and presentation system with a structured database and server architecture to packetize data files, excluding personalized information, and index them into a taxonomy, allowing users to access and analyze data while maintaining owner control through secure digital storage bins and encryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cloud-based file sharing platforms are used to enable collaborative research, then data accessibility and collaboration are improved, but data security and ownership control deteriorate
Solution Approach 1:
The patent introduces a virtual research room as an intermediary platform between data owners and researchers. This virtual environment enables collaborative analysis of data without requiring direct file transfers or downloads, thus maintaining security while facilitating access. The virtual research room acts as a mediator that preserves data ownership control while enabling the desired collaboration.
Solution Approach 2:
The system creates virtual copies of data within the secure virtual research room environment. Researchers can work with replicated data in this controlled space without accessing the original proprietary data stores, enabling analysis and collaboration while maintaining data security and ownership integrity.
2Productivity
If proprietary data is shared for collaborative research, then research productivity is improved, but regulatory compliance risk increases
Solution Approach 1:
The virtual research room serves as a compliant intermediary environment where data can be accessed and analyzed under controlled conditions. This platform enables researchers to work with proprietary data in a regulated manner, facilitating productivity while managing regulatory compliance risks through structured access controls and data protection mechanisms.
Solution Approach 2:
The system modifies data parameters by creating virtual representations that maintain analytical value while removing or obscuring sensitive information. This transformation allows data to be shared for research purposes while adjusting parameters to comply with regulatory requirements such as HIPAA or other data protection standards.
3Adaptability or versatility
If data is made accessible to multiple users, then collaboration is improved, but data manipulation and unauthorized use increase
Solution Approach 1:
The virtual research room provides a controlled intermediary space where multiple users can collaborate on data analysis under supervision. The platform enables versatile collaborative workflows while preventing unauthorized data manipulation through built-in security mechanisms that monitor and restrict user actions within the virtual environment.
Solution Approach 2:
The system incorporates feedback mechanisms that track user actions, access patterns, and data usage within the virtual research room. This feedback loop enables the system to detect and prevent unauthorized manipulation while allowing legitimate collaborative research activities to proceed freely.
Data Source
AI summary
Systems and methods for automated data curation and presentation are disclosed herein. The system can include a memory including a structured database and a plurality of storage bins, and at least one server that can receive a packetized data file generated from a data file, automatically generate at least one tag for the packetized data file, index the packetized data file according to the at least one tag into a predetermined taxonomy, receive a data request including a plurality of parameters identifying attributes of packetized data, and deliver curated data selected according to the at least some of the plurality of parameters of the data request. This packetized data file can include a first packet generated from a content file of the data file, a second packet generated from metadata of the data file, and a third packet generated from a payload of the data file.