Nested Data Structure for Collaborative Database Reliability
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Solution Overview
Problem
Current database systems lack the ability to provide detailed data underlying each cell, manage information reliability, and account for variability in information sources and user reputations, limiting their ability to host raw data and improve its accuracy through user contributions.
Innovation Solution
The system allows users to view and manipulate data by accessing summary and detailed information, submitting new data, and computing new summarized data points, with features like reputation algorithms to assess user trustworthiness and de-weighting unreliable submissions, enabling collaborative maintenance of accurate information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional database systems store only summarized data, then data storage efficiency is improved, but data reliability and traceability deteriorate
Solution Approach 1:
The patent implements a nested data structure where detailed raw data submissions are stored within the database system, and summarized data is generated from these detailed submissions. Each summarized data point contains embedded metadata linking back to the underlying detailed data, creating a nested hierarchy that preserves both storage efficiency and data reliability through traceability
2Reliability
If detailed underlying data is stored for each data cell, then data reliability is improved, but device complexity and storage requirements worsen
Solution Approach 1:
The patent segments data into distinct hierarchical levels: detailed raw data submissions with metadata, intermediate processing layers, and summarized data outputs. This segmentation allows the system to manage complexity by organizing data at appropriate granularities, storing detailed data only when necessary while generating summarized views for general access, thereby reducing overall system complexity
3Measurement precision
If multiple user submissions are aggregated, then data accuracy is improved, but processing time and computational resources worsen
Solution Approach 1:
The patent implements preliminary action by pre-processing and validating user submissions as they are received, organizing them into structured formats with metadata before aggregation. The system pre-computes certain statistical measures and validates data quality upfront, so that when multiple submissions need to be aggregated, the processing requires less computational effort and time while maintaining data accuracy
Data Source
AI summary
Processes and systems are disclosed for accessing and providing information obtained from a source. The processes and systems allow for accessing data stored in an electronic storage medium and providing a first set of information derived from the data stored in the storage medium. The processes and systems also provide a second set of information comprising detail data underlying the summary data.