摘要
随着数据成为生产要素和数据量的增加,铁路数据的价值逐渐凸显。科学地评估铁路数据价值是实现数据要素流通和促进数据价值转化的关键,但是目前业内对于数据价值评估方法的研究仍处于起步阶段。基于铁路数据的特征,研究构建了包含1个总目标、3个一级指标、9个二级指标、25个三级指标的体系,在传统成本法的基础上形成了融入收益法和市场法评估思路的改进成本法,并利用层次分析法与专家打分法构建了数据价值评估模型,对铁路数据价值评估工作具有参考价值。
As data becomes a factor of production and the amount of data increases,the value of railway data is gradually coming to the fore.Scien-tifically assessing the value of railway data is the key to realizing the circulation of data elements and promoting the transformation of data value.How-ever,the research on value evaluation methods for data in the industry is still in its infancy.Based on the characteristics of railway data,we establish a system including 1 general objective,3 primary indicators,9 secondary indicators,and 25 tertiary indicators.Meanwhiles,we form the improved cost method incorporating the ideas of the income method and the market method.In addition,the data value evaluation model is constructed by using the analytic hierarchy process(AHP)and expert evaluation method,which is of reference value for railway data value assessment.
作者
丁传琛
DING Chuanchen(China Railway Economic and Planning Research Institute Co.,Ltd.,Beijing 100038,China)
出处
《铁道经济研究》
2023年第4期16-23,共8页
Railway Economics Research
基金
中国国家铁路集团有限公司科技研究开发计划项目“面向铁路全业务信息源的数据汇聚、分类及示范应用关键技术研究”(P2021S012)
中国国家铁路集团有限公司科技研究开发计划项目“铁路信息系统无形资产估价方法及关键技术研究”(K2022Z010)。
关键词
铁路数据
数据价值评估
AHP
专家打分法
railway data
data value evaluation
analytic hierarchy process(AHP)
expert evaluation method
