Analytic Product Linking Through Metadata Networks for Reproducibility
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In big data environments, the disconnect between analytic results and underlying data leads to loss of information, compromised reproducibility, and increased costs due to inadequate linking of analytic methods and contextual information, resulting in inefficiencies and duplicative work.
Innovation Solution
A framework that links data to its analytic derivatives and contextual information, including metadata, through a network of interconnected objects, using unique resource identifiers to represent processes, sessions, and downstream products, enabling traversal and access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If analytic results are stored without linking to underlying data and contextual information, then storage simplicity is improved, but information loss and loss of reproducibility occur
Solution Approach 1:
The patent implements a nested structure where analytic results are stored within a comprehensive framework that includes underlying data, metadata, and contextual information. Each analytic result is embedded with references to its source data and processing context, creating a nested hierarchy that preserves all necessary information while maintaining organized storage.
Solution Approach 2:
The patent introduces a metadata layer as an intermediary between analytic results and underlying data. This metadata serves as a mediator that captures contextual information, processing parameters, and relationships, enabling complete reconstruction of analytic workflows without directly linking every element while preserving all necessary information.
2Reliability
If analytic methods and contextual information are adequately linked, then reproducibility is improved, but system complexity increases
Solution Approach 1:
The patent segments the analytic workflow into distinct components: raw data, processing methods, contextual metadata, and results. Each segment is independently tracked and linked through standardized references, enabling reproducibility without requiring a monolithic complex system. This segmentation allows selective reconstruction of analytic workflows.
Solution Approach 2:
The patent implements a universal metadata schema that serves multiple functions: tracking data provenance, documenting processing parameters, enabling reproducibility, and facilitating data discovery. This multi-functional approach reduces overall system complexity by consolidating multiple tracking requirements into a single standardized framework.
3Loss of information
If complete linking of analytic methods and data is implemented, then information availability is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary action by pre-generating and storing metadata during the data collection and processing phases. Contextual information, processing parameters, and relationships are captured and structured in advance, enabling rapid retrieval and reconstruction of analytic workflows without requiring real-time processing of complete data sets.
Solution Approach 2:
The patent creates simplified copies of analytic workflows through standardized metadata representations. Instead of processing complete data sets to verify reproducibility, the system uses compact metadata copies that capture essential processing information, enabling rapid verification while maintaining complete information availability.
Data Source
AI summary
Persistence and linking of analytic products is provided. Information regarding a plurality of analytic methods is collected. A first process node is generated in a network. The first process node corresponds to a first analytic method. Information is collected regarding a plurality of executions of the first analytic method. A plurality of session nodes is generated in the network corresponding to the plurality of executions. Each of the plurality of session nodes is linked to the first process node. Metadata regarding the plurality of executions is associated with the plurality of session nodes. At least one product node is generated corresponding to a product. The product integrates a result value of at least one of the plurality of executions. The at least one product node is linked to the session node of the plurality of session nodes corresponding to the at least one of the plurality of executions.