Distributed Ledger Data Aggregation Contribution Scoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Entities face challenges in sharing data due to barriers such as difficulties in ascertaining the magnitude of contributions in a reliable, predictable, and transparent manner, leading to siloed data and reliance on low-quality or redundant information, which affects the quality and completeness of data used by applications.
Innovation Solution
The use of distributed ledger technology, specifically blockchain, enables the sharing of data by assigning contribution scores to entities using a scoring algorithm, ensuring transparent and reliable tracking of data contributions, thereby facilitating the aggregation and sharing of high-quality data across multiple entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If entities share data with other entities, then data quality and completeness for applications is improved, but entities face difficulties in ascertaining the magnitude of their contributions in a reliable, predictable, and transparent manner
Solution Approach 1:
A distributed ledger system acts as an intermediary between data contributing entities and data consuming entities. The ledger automatically tracks, records, and verifies data contributions through transparent consensus mechanisms, eliminating the complexity of manual contribution assessment while ensuring reliable attribution of data sources and their quality metrics.
Solution Approach 2:
The system implements automated feedback loops where contribution metrics are continuously tracked, verified, and made transparent to all entities. The distributed ledger provides real-time feedback on data contribution magnitudes, quality assessments, and usage patterns, enabling entities to understand their contributions without manual intervention.
2Reliability
If entities maintain their own data in silos, then data security and control are maintained, but large quantities of computer storage is consumed by low quality and redundant data
Solution Approach 1:
The system merges data from multiple entities into a unified distributed ledger while maintaining each entity's ownership and control rights. By combining data contributions into a shared immutable ledger, the system eliminates redundant storage across silos while preserving security through cryptographic verification and access control mechanisms.
Solution Approach 2:
Instead of duplicating entire data sets across multiple entity systems, the patent creates cryptographic copies and references on the distributed ledger. Each entity maintains control of their original data while the ledger stores verified hashes and metadata, dramatically reducing storage requirements while maintaining data integrity and control.
3Reliability
If data is shared among multiple entities, then data quality improves through aggregation, but it becomes less scarce and therefore less valuable
Solution Approach 1:
The distributed ledger serves as an intermediary that enables data aggregation while preserving scarcity value through transparent tracking of original sources. The system aggregates data quality benefits by combining contributions from multiple entities while the immutable ledger maintains provenance information, ensuring that the scarcity and value of original data contributions are recognized and preserved.
4Reliability
If entities share data, then aggregated data quality improves, but regulations may exist on how and what data is shared
Solution Approach 1:
The distributed ledger implements automated feedback mechanisms that continuously monitor data sharing transactions against predefined regulatory rules and policies. The system provides real-time compliance verification, automatically flagging or preventing transactions that violate regulations, thereby simplifying regulatory adherence while enabling high-quality data aggregation.
Data Source
AI summary
In various embodiments, a request may be received identifying items of information and an entity requesting the items. A set of entities may be determined It may be determined, for a response to the request, that collectively has access to a set of values that captures each of the items requested by the entity. A transaction of a transaction block may be created on a blockchain maintained at least in part by one or more nodes of a distributed ledger system. The transaction may be digitally signed and identify the set of entities, and contribution scores of the values to the set of values. Each contribution score for a given value of an item being based on a level of scarcity of the item and a level of usage of the item. The blockchain may identify a scoring algorithm used to determine the contribution scores.