Separate Metadata Storage for Distributed Digital Asset Control
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Solution Overview
Problem
Centralized document management systems are costly, difficult to install, and require end-users to change their workflow, leading to unmanaged digital assets outside the control of corporate governance, with limitations in categorization, automated control, and meta-data management.
Innovation Solution
A software system that categorizes digital assets at the point of creation with minimal user intervention, storing meta-data separately and propagating it with the assets, allowing for policy application and audit, while maintaining control and management without requiring assets to be stored centrally.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized document management systems are implemented, then digital asset control and governance are improved, but system cost and complexity increase
Solution Approach 1:
The patent segments digital asset management into two independent components: metadata management (centralized) and digital asset storage (decentralized). The metadata is stored and managed centrally on the server to maintain control and governance, while the actual digital assets remain distributed across users' local devices. This segmentation allows the system to provide centralized control without requiring a centralized repository, reducing system complexity and cost while maintaining asset control.
2Reliability
If centralized file control mechanisms are implemented, then digital asset governance is improved, but user workflow flexibility deteriorates
Solution Approach 1:
The patent extracts the control mechanism from the storage location. Instead of requiring digital assets to be stored centrally to maintain control, the system extracts metadata (which contains governance information, categorization, and control policies) and manages it centrally while allowing digital assets to remain in their original decentralized locations. This enables users to access and work with assets locally without changing their workflow, while corporate governance is maintained through centralized metadata management.
3Reliability
If digital assets are stored centrally, then centralized control is improved, but user productivity and accessibility deteriorate
Solution Approach 1:
The patent introduces metadata as an intermediary between centralized control requirements and decentralized storage needs. The metadata acts as a mediator that carries governance information, categorization data, and control policies without requiring the actual digital assets to be moved to a central location. Users can access and work with digital assets locally on their devices, maintaining productivity, while the centralized metadata system ensures corporate control and governance are upheld.
4Measurement precision
If automated categorization is implemented, then categorization quality is improved, but system complexity increases
Solution Approach 1:
The patent implements automated categorization where the system automatically generates and assigns metadata tags and categorization information to digital assets without requiring manual user input. The categorization engine analyzes digital assets and autonomously determines appropriate categories, tags, and governance policies. This self-service approach improves categorization quality and consistency while actually reducing user burden, as users don't need to manually categorize assets or understand complex categorization systems.
Data Source
AI summary
Systems and methods for managing digital assets in a distributed computing environment are described. Meta-data for the digital assets is stored separately from the digital assets. Meta-data for some of the digital assets is copied and stored at a central location. Meta-data for the digital assets is generated by clients of the system.