数据产品的资产性分析

doi:10.11959/j.issn.2096-0271.2024030

Abstract

Abstract:

At present, data trading venues have been built all over the country, and listed data products have hit new highs, but onsite 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 ＆quot;more listed data goods but less trading＆quot;.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＆quot;assets are listed＆quot;, the asset verification framework of data product, the infrastructure of development-utilization-tradingcirculation, operational trading logic of ＆quot;listing is assets＆quot; and the regular mechanism of evaluation, review and warning.This provides a reference for data product transactions and boom the construction of data market.

Key words: data product, commodity, asset assetization, compliance, data trade

CLC Number:

TP302

Yingzi WEN, Weina WU. Asset analysis on data product[J]. Big Data Research, 2024, 10(2): 43-53.

Figures/Tables 4

References 25

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