In-Place Records Management With a Common Data Model
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Solution Overview
Problem
Existing records management systems face challenges in managing records across disparate data storage systems with different architectures, requiring separate software systems for each system and necessitating ad hoc, disjointed management, which is inefficient and difficult to scale with new technologies.
Innovation Solution
An in-place information management system with a common data model and query interface that allows centralized records and lifecycle management across multiple data storage systems, enabling asynchronous query-based policy application without moving or synchronizing data, and supporting both records management and lifecycle management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate software systems are used for each data storage system, then each system can be managed independently, but the overall system complexity increases and scalability deteriorates
Solution Approach 1:
The patent implements a universal records management system that can manage multiple types of data storage systems (file systems, databases, cloud storage, etc.) through a single unified software platform. The system uses a common data model and query interface that works across different storage architectures, eliminating the need for separate software for each storage system type.
Solution Approach 2:
The patent introduces an intermediary layer consisting of a common data model and query interface that sits between the records management software and various data storage systems. This intermediary translates generic queries into storage-system-specific operations, allowing the management system to remain agnostic of the underlying storage architecture while maintaining full control.
2Ease of operation
If data is moved or synchronized between systems, then centralized management is achieved, but data movement overhead and system performance deteriorate
Solution Approach 1:
The patent extracts the management logic from the data itself, allowing records to be managed in-place without physical movement. The system queries and controls data where it resides in the various storage systems, separating the management function from data relocation. This eliminates the energy overhead of moving or synchronizing data while maintaining centralized management capabilities.
3Adaptability or versatility
If ad hoc management approaches are used for disparate systems, then flexibility is maintained, but management efficiency and compliance deteriorate
Solution Approach 1:
The patent changes the parameters of management by implementing standardized policies, data models, and query interfaces that work across all storage systems. Instead of adapting management to each system's quirks, the system imposes consistent parameters (data classification schemes, retention policies, access controls) that improve efficiency while maintaining the flexibility to manage diverse storage architectures through unified rules.
Data Source
AI summary
An in-place information management system having a management application built on a common data model and configured for asynchronous query-based application of policies on content stored in the disparate data storage systems through a query interface which may be part of a set of integration services. The common data model may be configured based on common architectures of the disparate data storage systems. The query interface may be configured for running a query on a data storage system in response to a search request received by the management application from a records manager and for mapping semantically equivalent keys from disparate data storage systems to a key in the common data model. The query may define a set of records to be treated similarly according to corporate policy on content lifecycle and records compliance.