Machine learning advancements in healthcare have made data collected through smartphones and wearable devices a vital source of public health and medical insights.While wearable device data help to monitor,detect,and ...Machine learning advancements in healthcare have made data collected through smartphones and wearable devices a vital source of public health and medical insights.While wearable device data help to monitor,detect,and predict diseases and health conditions,some data owners hesitate to share such sensitive data with companies or researchers due to privacy concerns.Moreover,wearable devices have been recently available as commercial products;thus large,diverse,and representative datasets are not available to most researchers.In this article,the authors propose an open marketplace where wearable device users securely monetize their wearable device records by sharing data with consumers(e.g.,researchers)to make wearable device data more available to healthcare researchers.To secure the data transactions in a privacy-preserving manner,the authors use a decentralized approach using Blockchain and Non-Fungible Tokens(NFTs).To ensure data originality and integrity with secure validation,the marketplace uses Trusted Execution Environments(TEE)in wearable devices to verify the correctness of health data.The marketplace also allows researchers to train models using Federated Learning with a TEE-backed secure aggregation of data users may not be willing to share.To ensure user participation,we model incentive mechanisms for the Federated Learning-based and anonymized data-sharing approaches using NFTs.The authors also propose using payment channels and batching to reduce smart contact gas fees and optimize user profits.If widely adopted,it’s believed that TEE and Blockchain-based incentives will promote the ethical use of machine learning with validated wearable device data in healthcare and improve user participation due to incentives.展开更多
This paper explores the challenges and opportunities related to the activation of data assets in the maritime industry.This study sheds light on the evolving landscape of data asset monetization in the maritime sector...This paper explores the challenges and opportunities related to the activation of data assets in the maritime industry.This study sheds light on the evolving landscape of data asset monetization in the maritime sector.The successful activation of these data assets has the potential to generate substantial economic benefits.By addressing ownership,pricing,and security concerns,maritime enterprises can unlock the true potential of their data assets and contribute to the growth and development of the industry.Maritime enterprises possess extensive and long-standing data assets,which have the potential for substantial value extraction.The first part highlights the global trend of data asset monetization and provides an overview of data accumulation by leading maritime companies.It also underscores the unique characteristics of maritime data,including relatively straightforward ownership and ease of utilization.The second part delves into the practical experiences and pros and cons of data asset monetization in various regions.The third part examines the main risks associated with data asset monetization in maritime enterprises.These risks include issues related to ownership and profit distribution after data rights are established,the possibility of data idling leading to a bubble effect,and escalating concerns about data security.In the fourth part,the paper offers specific regulatory pathways and recommendations to address these challenges.This includes resolving ownership attribution issues,implementing market-oriented pricing strategies with legal safeguards,and embracing technological measures for robust data security,such as distinguishing between information and raw data and ensuring the anonymization of original data.展开更多
文摘Machine learning advancements in healthcare have made data collected through smartphones and wearable devices a vital source of public health and medical insights.While wearable device data help to monitor,detect,and predict diseases and health conditions,some data owners hesitate to share such sensitive data with companies or researchers due to privacy concerns.Moreover,wearable devices have been recently available as commercial products;thus large,diverse,and representative datasets are not available to most researchers.In this article,the authors propose an open marketplace where wearable device users securely monetize their wearable device records by sharing data with consumers(e.g.,researchers)to make wearable device data more available to healthcare researchers.To secure the data transactions in a privacy-preserving manner,the authors use a decentralized approach using Blockchain and Non-Fungible Tokens(NFTs).To ensure data originality and integrity with secure validation,the marketplace uses Trusted Execution Environments(TEE)in wearable devices to verify the correctness of health data.The marketplace also allows researchers to train models using Federated Learning with a TEE-backed secure aggregation of data users may not be willing to share.To ensure user participation,we model incentive mechanisms for the Federated Learning-based and anonymized data-sharing approaches using NFTs.The authors also propose using payment channels and batching to reduce smart contact gas fees and optimize user profits.If widely adopted,it’s believed that TEE and Blockchain-based incentives will promote the ethical use of machine learning with validated wearable device data in healthcare and improve user participation due to incentives.
基金National Social Science Fund of China,21BFX077,Xiaolan Yu。
文摘This paper explores the challenges and opportunities related to the activation of data assets in the maritime industry.This study sheds light on the evolving landscape of data asset monetization in the maritime sector.The successful activation of these data assets has the potential to generate substantial economic benefits.By addressing ownership,pricing,and security concerns,maritime enterprises can unlock the true potential of their data assets and contribute to the growth and development of the industry.Maritime enterprises possess extensive and long-standing data assets,which have the potential for substantial value extraction.The first part highlights the global trend of data asset monetization and provides an overview of data accumulation by leading maritime companies.It also underscores the unique characteristics of maritime data,including relatively straightforward ownership and ease of utilization.The second part delves into the practical experiences and pros and cons of data asset monetization in various regions.The third part examines the main risks associated with data asset monetization in maritime enterprises.These risks include issues related to ownership and profit distribution after data rights are established,the possibility of data idling leading to a bubble effect,and escalating concerns about data security.In the fourth part,the paper offers specific regulatory pathways and recommendations to address these challenges.This includes resolving ownership attribution issues,implementing market-oriented pricing strategies with legal safeguards,and embracing technological measures for robust data security,such as distinguishing between information and raw data and ensuring the anonymization of original data.
