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1. 东华大学计算机科学与技术学院,上海 201620
2. 复旦大学计算机科学技术学院,上海 201203
3. 上海市数据科学重点实验室,上海 201203
Online First:2020-05,
Published:15 May 2020
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Yazhen YE, Guohua LIU, Yangyong ZHU. An initial exploration on framework of data assetization[J]. Big Data Research, 2020, 6(3): 2020019-1.
Yazhen YE, Guohua LIU, Yangyong ZHU. An initial exploration on framework of data assetization[J]. Big Data Research, 2020, 6(3): 2020019-1. DOI: 10.11959/j.issn.2096-0271.2020019.
随着数字经济的发展,将作为数字经济关键要素的数据看作一类新型资产已经获得共识。但是,并不是所有数据都可以作为资产。因此,哪些数据可以作为数据资产、作为数据资产的数据应该具备什么条件、如何将一个数据集转化为数据资产是当前数据产业、数字经济亟须解决的问题。研究了数据资产的特点和需具备的条件,提出了一个数据资产化基本框架,包括数据资源确权、数据价值确认与质量管控、数据装盒入库、货币计价与评估、数据资产折旧和增值的管理5个步骤,为数据资源的资产化提供了一条可行的路径。
As the digital economy develops
data as one of the key elements of the digital economy has been widely recognized as a new type of assets.However
various types of data cannot be treated as assets.Therefore
the criteria of data assets and the transformation from datasets to data assets are critical questions for data industry and the actors involved in data economy to solve.The features and requirements of data assets were discussed
and a basic framework for data assetization based on features of data assets was proposed
including five phases of registration of rights concerning data resources
data value confirmation and quality control
data box building and storage
asset pricing and evaluation
and data asset depreciation and appreciation management.A plausible path to data resource assetization was provided.
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