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数据资产化的理论逻辑与现实挑战

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数字时代,数据是新型生产要素,数据要素是发展新质生产力的关键基础.数据资源是企事业单位的战略性资源,数据资产是未来企事业单位的核心资产,数据资产化则是企事业单位释放数据要素价值的重要推动力.本文首先对数据资产化所涉核心概念进行了有效厘清;其次,对数据资产化的理论和政策逻辑进行了系统阐释,从而为企事业单位的数据资产化工作奠定基础;最后指出企事业单位开展数据资产化工作仍然面临三大现实挑战,并提出了有序开展数据资产化工作的实施步骤和建议.
The Theoretical Logic and Practical Challenges of Data Assetization
In the digital era,data is a new element of production,and data elements are the crucial foundation for developing new quality productive forces.Data resources are strategic assets for enterprises and public institutions,data assets are the core assets of future enterprises and public institutions,and data assetization is a significant driving force for enterprises and public institutions to unleash the value of data elements.This paper first effectively clarifies the core concepts involved in data assetization,then systematically interprets the theoretical and policy logic of data assetization,thereby laying the foundation for the data assetization work of enterprises and public institutions.Finally,it points out that enterprises and public institutions still face three major practical challenges in carrying out data assetization work and proposes implementation steps and suggestions for carrying out data assetization work in an orderly manner.

data assetizationdata elementstheoretical logicdata asset management

赵治纲、曾家瑜

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中国财政科学研究院,北京市,100142

数据资产化 数据要素 理论逻辑 数据资产管理

2024

中国卫生信息管理杂志
卫生部统计信息中心

中国卫生信息管理杂志

CSTPCD
影响因子:1.2
ISSN:1672-5166
年,卷(期):2024.21(3)
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