Data Attribution Chain Generation in Sharing Platforms
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Solution Overview
Problem
Current data sharing systems lack a mechanism to attribute user data back to its owner, especially when the data undergoes transformations before being shared with consumers, failing to provide users with control over their data usage and value.
Innovation Solution
A data sharing platform generates attribution chains by assigning tag data to user data, tracking its use across various operations and transformations, allowing users to view how their data is utilized and determining the importance of their contributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user data is collected and transformed for data sharing services, then data utility and value are improved, but the ability to track and attribute data back to users is lost
Solution Approach 1:
The system attaches unique identifier tags to user data before the data undergoes any transformations or is shared with third parties. This preliminary tagging ensures that even when data is processed, aggregated, or transformed into different formats, the original attribution information is preserved and can be traced back to the source user.
Solution Approach 2:
The patent introduces an intermediary attribution tracking system that acts as a bridge between user data and data consumers. This intermediary layer maintains the connection between transformed data and its original source through unique identifiers, allowing attribution to be preserved without interfering with the data transformation process itself.
2Adaptability or versatility
If data undergoes multiple transformations before sharing, then data adaptability and versatility are improved, but the mechanism to attribute data use back to users deteriorates
Solution Approach 1:
Unique identifier tags are attached to data at the point of collection, before any transformations occur. This ensures that regardless of how many times the data is transformed or processed, the original attribution link remains intact throughout the entire data lifecycle.
Solution Approach 2:
The system changes the parameter of data attribution from a static concept to a dynamic one that travels with the data through transformations. By embedding unique identifiers within the data structure itself, the attribution information adapts to various data formats and transformations while maintaining its identifying function.
3Ease of operation
If users are given control over their data sharing, then user autonomy and privacy are improved, but the ability to track and attribute data usage deteriorates
Solution Approach 1:
The system provides feedback mechanisms that allow users to track how their data is being used. By maintaining unique identifier tags throughout the data lifecycle, the system can generate attribution reports that feed back to users, showing them exactly how their data is being utilized while respecting their control preferences.
Solution Approach 2:
An intermediary attribution tracking system is introduced that operates transparently in the background. This intermediary maintains the connection between user data and its usage without interfering with user control mechanisms, allowing both user autonomy and attribution tracking to coexist.
Data Source
AI summary
In one embodiment, a data sharing platform performs a series of data operations to provide different types of data via different sharing services of the data sharing platform that are derived from data shared by a particular data owner. The data sharing platform generates tag data associated with the particular data owner for one or more of the series of data operations. The data sharing platform determines, based on the tag data, an attribution chain that links the data shared by the particular data owner to the different types of data provided via the different sharing services. The data sharing platform sends an indication of the attribution chain for display.