首页|面向数据要素价值化的数据资源应用场景创新研究

面向数据要素价值化的数据资源应用场景创新研究

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[目的/意义]数据作为一种新型的生产要素,充分开发利用数据资源,拓展规范化数据的应用场景是释放数据要素价值、激活数据要素潜能的必要手段.[方法/过程]按照"场景识别—模型设计—模型阐释"的思路,运用质性分析法对文本资料进行编码场景识别,形成数据应用场景的分类体系,并结合创新应用案例以及数据生命周期理论、CRISP-DM模型和数据价值链构建数据应用场景模型,自上而下地从需求导向、数据支撑和技术驱动三个维度对数据应用场景模型进行梳理阐释.[结果/结论]形成涵盖4 个一级场景、14 个二级场景和41 个三级场景的分类体系,构建以需求为导向、数据为支撑、技术为驱动三位一体的场景模型框架,并对模型的逻辑和内涵进行深入剖析和阐释,为拓展规范化数据的应用场景提供参考与指引.
Research on the Innovation of Data Resource Application Scenarios Oriented to the Valorization of Data Elements
[Purpose/significance]As a new type of production factor,fully developing and utilizing data resources and ex-panding the application scenarios of standardized data are the necessary means to release the value and activate the potential of data elements.[Method/process]According to the idea of"scene identification-model design-model interpretation",and the qualita-tive analysis method is used to identify the coding scenes of textual data,to form the classification system of data application scenes.The data application scenario model is constructed by combining innovative application cases,data life cycle theory,CRISP-DM model and data value chain,and the data application scenario model is explained from top to bottom in the three dimen-sions of demand-oriented,data-supporting and technology-driven.[Result/conclusion]We form a classification system covering 4 first-level scenarios,14 second-level scenarios and 41 third-level scenarios,construct a scenario model framework that is demand-oriented,data-supported and technology-driven,and analyze and explain the logic and connotation of the model in depth to provide reference and guidance for broadening the application scenarios of normalized data.

data resourcesdata elementsdata valuesmart datadata science

刘桂锋、吴雅琪、韩牧哲、刘琼、苏文成

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江苏大学科技信息研究所,江苏 镇江 212013

江苏大学图书馆,江苏 镇江 212013

数据资源 数据要素 数据价值 智慧数据 数据科学

2025

情报理论与实践
中国国防科学技术信息学会 中国兵器工业第二一零研究所

情报理论与实践

北大核心
影响因子:1.302
ISSN:1000-7490
年,卷(期):2025.48(1)