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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

User incentives for blockchain-based data sharing platforms.

Vikas Jaiman¹, Leonard Pernice², Visara Urovi¹

¹Institute of Data Science, Maastricht University, Maastricht, The Netherlands.

|April 14, 2022

Summary

This summary is machine-generated.

Incentive mechanisms are crucial for blockchain-based data sharing. A cost compensation model effectively balances incentives for data owners and requesters, promoting scalable data sharing.

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Area of Science:

Computer Science
Information Science
Economics

Background:

Data sharing accelerates research and innovation but faces barriers like privacy concerns, cost, and lack of secure solutions.
Blockchain offers transparency and control for data sharing, but incentivizing decentralized platforms at scale is under-explored.

Purpose of the Study:

To investigate and evaluate various incentive mechanisms for decentralized data-sharing platforms.
To analyze cost pricing scenarios for data monetization within a blockchain framework.

Main Methods:

Simulation of incentive mechanisms on a blockchain-based data-sharing platform.
Utilizing smart contracts to automate payment options between data owners and requesters.
Evaluation of multiple cost pricing models for data monetization.

Main Results:

A cost compensation model for data owners was found to rapidly cover data sharing costs.
The proposed model effectively balanced incentives among all platform participants.
Demonstrated the feasibility of incentivizing scalable data sharing on decentralized platforms.

Conclusions:

Incentive mechanisms are vital for the success of blockchain-based data-sharing systems.
Cost compensation models offer a viable solution for balancing economic factors in decentralized data sharing.
This research provides a foundation for developing scalable and incentivized data-sharing ecosystems.