Virtual Research Platform With Packetized, Owner-Controlled Data Access
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Solution Overview
Problem
Existing cloud-based file sharing platforms do not enable users to view and analyze data from heterogeneous content sources without compromising the rights of data owners, particularly in collaborative research projects involving proprietary data, due to regulatory and compliance risks, encryption requirements, and the need to maintain data control.
Innovation Solution
A virtual research platform with automated data curation and presentation system that includes a structured database and server for packetizing data files into non-personalized packets, generating tags, indexing, and delivering curated data based on user requests, while maintaining data control with the owners.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cloud-based file sharing platforms are used to enable data access for collaborative research, then data accessibility and collaboration capability are improved, but data ownership rights and control are compromised
Solution Approach 1:
The patent segments data access into two distinct layers: a data layer that remains with the owner and a virtualization layer that enables access. The virtual research room creates a segmented environment where data is accessed through virtual instances rather than direct file transfer, allowing research collaboration without compromising ownership control.
Solution Approach 2:
The patent introduces a virtualization layer as an intermediary between data owners and researchers. This intermediary layer (the virtual research room) enables data access and analysis while maintaining the owner's control and proprietary rights, resolving the contradiction between accessibility and control.
2Productivity
If proprietary data is shared for collaborative research analysis, then research capability and data utilization are improved, but regulatory compliance risk increases
Solution Approach 1:
The patent creates virtual copies of data within the virtual research room environment. Researchers work with virtual instances of the data that can be analyzed and processed without copying the actual proprietary data to their local systems, thereby enabling research capability while maintaining regulatory compliance through data protection.
Solution Approach 2:
The virtualization layer serves as an intermediary that enables research analysis of proprietary data without direct exposure to the raw data. This intermediate environment allows compliant research activities while protecting the data from unauthorized access, download, or modification, thus reducing regulatory compliance risk.
3Reliability
If data is packetized and curated for research access, then data security and ownership protection are improved, but system complexity increases
Solution Approach 1:
The virtual research room platform provides multi-functional capabilities within a single unified system. It handles data virtualization, security control, research collaboration, and data management functions all in one platform, which reduces the need for multiple separate complex systems while maintaining high data security standards.
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. The system can include at least one server that can receive a packetized data file generated from a data file. 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. The at least one server can automatically generate at least one tag for the packetized data file, which at least one tag is automatically generated based at least one key phrase identified in at least the targeted portion of the content file. The at least one server can 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.