CrowdDATA Plug-in for Privacy-Compliant Data Collection
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Solution Overview
Problem
Collecting aggregated consumer data for advertising and market demographics is challenging due to consumer privacy laws like GDPR and CCPA, and the iOS14.5 mobile operating system's 'opt-out' feature, which limits mobile app usage tracking.
Innovation Solution
A CrowdDATA plug-in system that allows mobile app users to voluntarily provide anonymized data and receive rewards, bypassing user data blocking and privacy laws, by integrating with a network that compensates users and provides tokens redeemable for services or products, while ensuring compliance with financial security regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If mobile app users are tracked to collect consumer data, then data collection capability is improved, but user privacy protection deteriorates
Solution Approach 1:
The patent inverts the traditional tracking model by allowing users to voluntarily opt-in to data sharing rather than being tracked by default. Users actively choose to share anonymized data through the plug-in, reversing the power dynamic from app-centric tracking to user-centric data sharing.
Solution Approach 2:
The patent introduces an intermediary layer (the plug-in system) between users and apps. This intermediary anonymizes data before transmission, ensuring privacy protection while enabling data collection. The plug-in acts as a mediator that reconciles the conflicting needs of data collection and privacy protection.
2Object-affected harmful factors
If iOS14.5 opt-out feature is implemented, then user privacy control is improved, but data collection capability deteriorates
Solution Approach 1:
Instead of requiring users to opt-out of tracking (iOS default), the patent implements an opt-in model where users actively choose to share data. This inversion maintains privacy control while enabling data collection, as users must explicitly consent to participate.
Solution Approach 2:
The patent enables users to self-manage their data sharing preferences through the plug-in. Users can control what data is shared, with whom, and under what conditions, empowering them to make informed decisions about their privacy while still allowing data collection when desired.
3Reliability
If anonymized data sharing is implemented, then privacy compliance is improved, but data value deteriorates
Solution Approach 1:
The patent changes the parameters of data sharing by implementing dynamic anonymization levels. Instead of complete anonymization or no anonymization, the system allows configurable levels of anonymity that balance privacy compliance with data utility. This enables retention of valuable data patterns while protecting individual privacy.
Data Source
AI summary
Disclosed herein are a system and method including a platform that administers a mobile app that allows user to participate in obtaining and trading non-fungible tokens (NFTs). In particular an embodiment includes a trust certificate that is attached to a NFT, where the certificate is both detachable and redeemable for its pro rata share of the net asset value of an associated trust. In yet another embodiment, a dual-purpose certificate is attached to a NFT that is divisible.