{"title":"The Importance of Data Assets and Its Accounting Confirmation and Measurement Methods","authors":"Y. Zhang, Yuanxin Huang, Dingqing Zhang, Y. Qian","doi":"10.1109/BESC48373.2019.8963312","DOIUrl":null,"url":null,"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.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BESC48373.2019.8963312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.