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数据产品的资产性分析

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当前各地纷纷建设数据交易场所,挂牌数据产品屡创新高,但场内数据交易仍不够活跃.综合分析当前主要数据交易场所挂牌的数据产品,发现数据产品的资产性不足是导致当前"挂牌多、交易少"的主要原因.基于此,研究了数据产品资产性需具备的3个条件,提出数据产品资产化方法,包括价值实现路径、"资产才挂牌"的挂牌原则、"合规-权属清晰-预期有经济利益流入"的资产性核验框架、"开发-利用-流通-交易"的基础设施保障、"挂牌即资产"的运营交易逻辑以及常态化评价、审查和警示机制,为数据产品交易提供参考,为数据要素市场建设助力.
Asset analysis on data product
At present,data trading venues have been built all over the country,and listed data products have hit new highs,but on-site data trading is still not active.After comprehensive analysis of data products listed in the current major data trading venues,it was proposed that the lack of asset characteristics of data products is the main reason for the current"more listed data goods but less trading".Then,three requirements of asset characteristics of data products were discussed,and a basic framework for data product assetization was proposed,including the path of realizing value,the listing principle of"assets are listed",the asset verification framework of data product,the infrastructure of development-utilization-trading-circulation,operational trading logic of"listing is assets"and the regular mechanism of evaluation,review and warning.This provides a reference for data product transactions and boom the construction of data market.

data productcommodityasset assetizationcompliancedata trade

文英姿、吴维娜

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苏州数据资产运营有限公司,江苏 苏州 215131

苏州市人民政府办公室(市大数据管理局),江苏 苏州 215004

数据产品 商品 资产性 合规性 数据交易

苏州市信息化项目(2023)苏州数据交易市场建设规划研究项目

SZSCY2023-S-C-070

2024

大数据
人民邮电出版社

大数据

CSTPCD
ISSN:2096-0271
年,卷(期):2024.10(2)
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