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Online First:2022-07,
Published:15 July 2022
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Zhenhua LI, Tongyi WANG. Analysis on various patterns of data intermediary[J]. Big data research, 2022, 8(4): 94-104.
Zhenhua LI, Tongyi WANG. Analysis on various patterns of data intermediary[J]. Big data research, 2022, 8(4): 94-104. DOI: 10.11959/j.issn.2096-0271.2022068.
数据中介有望成为促进数据流通的中坚力量,通过多样化的创新实践,助力数据要素市场的建设。介绍了多种类型的数据中介,不同的数据中介着重解决不同的实践难题,比如数据交易平台着重解决供需双方的信息不对称问题,Plaid等开放银行服务商着重解决数据标准和数据接口的统一转换问题,数据信托可以优化“授权同意”这一个人信息分享路径。建议坚持问题导向原则,根据场景需要,积极探索、创新多元化的数据中介形式,建设良好可信的数据生态,充分释放数据要素的价值。
Data intermediaries are expected to become the backbone of promoting data circulation through diversified innovative practices.Various patterns of data intermediaries were introduced.Different data intermediaries focus on solving different practical problems.For example
the data transaction platform focused on solving the information asymmetry between the supply and demand sides
open banking service providers such as Plaid focused on the unified conversion of data standards and data interfaces
and data trust could optimize the personal information sharing the path of authorization and consent.It was suggested to adhere to the problem orientation
actively explore and innovate diversified data intermediary patterns according to the needs of the scenario
build a healthy and reliable data ecosystem
and fully release the value of data.
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