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数据要素市场研究综述:价值、定价与交易

杨明 冯宏霖 王鑫 霍吉东 焦绪国 张恒

网络与信息安全学报2024,Vol.10Issue(3):1-19,19.
网络与信息安全学报2024,Vol.10Issue(3):1-19,19.DOI:10.11959/j.issn.2096-109x.2024036

数据要素市场研究综述:价值、定价与交易

Survey of data factor market:value,pricing,and trading

杨明 1冯宏霖 1王鑫 1霍吉东 1焦绪国 2张恒3

作者信息

  • 1. 齐鲁工业大学(山东省科学院),山东省计算中心(国家超级计算济南中心),算力互联网与信息安全教育部重点实验室,山东 济南 250014||山东省计算机网络重点实验室,山东省基础科学研究中心(计算机科学),山东 济南 250014
  • 2. 青岛理工大学信息与控制工程学院,山东 青岛 266520||浙江大学工业控制技术全国重点实验室,浙江 杭州 310027
  • 3. 江苏海洋大学计算机工程学院,江苏 连云港 222005
  • 折叠

摘要

Abstract

With the rise of computing power networks,a novel infrastructure centered around computational power has emerged as a key driver in the development of the information economy.Data,recognized as a crucial produc-tion factor in the digital era,serves as a vital pillar for constructing new development paradigms.The data factor market,acting as the link between data and computational power networks,is particularly critical.Its robust opera-tion directly affects the sustainable development of computational power networks and is provided with crucial sup-port for the information economy system.Therefore,the data products were treated as the focal point,while the pro-cesses involved in the data factor market and the inherent connections among these components were introduced.Subsequently,the existing work on three key aspects of the data factor market was studied,including data value,data pricing,and data transactions.Regarding data value assessment,key aspects such as relative data value evalua-tion were discussed,introducing indicator systems,indicator weights,and value indices.For data asset value assess-ment,traditional methods such as the cost method,income method,and market method were discussed,as well as emerging methods based on machine learning.In terms of data pricing models,existing methods were categorized into two main types:pricing for dataset products and pricing for data service products.Seven pricing methods were summarized,and the advantages,disadvantages,and applicable scenarios of each method were further analyzed.Regarding data transaction systems,the applications of centralized and distributed architectures in the data trading market were analyzed from the perspective of system architecture.The current status and prospects of both on-exchange and over-the-counter trading modes were then introduced.

关键词

数据交易/数据价值/数据定价/数据市场

Key words

data trading/data value/data pricing/data market

分类

信息技术与安全科学

引用本文复制引用

杨明,冯宏霖,王鑫,霍吉东,焦绪国,张恒..数据要素市场研究综述:价值、定价与交易[J].网络与信息安全学报,2024,10(3):1-19,19.

基金项目

国家自然科学基金(62203249) (62203249)

山东省自然科学基金(ZR2021QF115) (ZR2021QF115)

泰山学者计划(tsqn202211203) (tsqn202211203)

山东省高等学校青创科技支持计划(2022KJ290) (2022KJ290)

山东省科技型中小企业创新能力提升项目(2023TSGC0108) (2023TSGC0108)

济南市新高校20条项目(202228077) The National Natural science Foundation of china(62203249),Shandong Provincial Nature Science Foun-dation of China(ZR2021QF115),Taishan Scholars Program(tsqn202211203),Shandong Provincial Higher Education Youth In-novation Team Development Project(2022KJ290),Shandong Provincial Innovation Capability Improvement Project for Small and Medium-sized Scientific and Technological Enterprises(2023TSGC0108),"20 New Universities"Project of Jinan City(202228077) (202228077)

网络与信息安全学报

OACSTPCD

2096-109X

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