The Importance of Data Assets and Its Accounting Confirmation and Measurement Methods

Y. Zhang, Yuanxin Huang, Dingqing Zhang, Y. Qian
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引用次数: 2

Abstract

The data assets that are not measured by enterprises are very important for both enterprises themselves and financial statements. This paper promotes the study of data capitalization. This paper gives a clear definition of data assets that data assets are data collection that been collected actively or passively by the enterprise. It can return profit to enterprise after processing. Data assets should not be simply regarded as one of intangible assets based on its characteristics. This paper creates one value model of data assets and analyzes the measurement of data asset that the initial measurement of data assets shall be based on the historical cost method, the subsequent measurement shall be measured by the lower number between fair value and historical cost or between the fair value and the current value. The author holds that data capitalization will have a bright future.
数据资产的重要性及其会计确认和计量方法
企业未计量的数据资产对企业本身和财务报表都非常重要。本文促进了数据资本化的研究。本文明确了数据资产的定义:数据资产是企业主动或被动收集的数据集合。加工后可将利润返还给企业。不能根据数据资产的特点简单地将其视为一种无形资产。本文建立了一种数据资产的价值模型,并对数据资产的计量进行了分析,即数据资产的初始计量应采用历史成本法,后续计量应采用公允价值与历史成本之间或公允价值与当前价值之间较低者进行计量。笔者认为,数据资本化具有广阔的发展前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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