数据编排:一种新的数据价值化理论框架  

Data Orchestration:A New Theoretical Framework for Data Valorization

作　　者：李晓翔[1] 刘玉霞 谢阳群 顾东晓[3] Li Xiaoxiang;Liu Yuxia;Xie Yangqun;Gu Dongxiao(School of Business,Anhui University,Anhui Hefei 230601;Hefei Normal University,Anhui Hefei 230001;School of Management,Hefei University of Technology,Anhui Hefei 230009)

机构地区：[1]安徽大学商学院,安徽合肥230601 [2]合肥师范学院,安徽合肥230001 [3]合肥工业大学管理学院,安徽合肥230009

出　　处：《情报理论与实践》2025年第4期35-43,共9页Information Studies:Theory & Application

基　　金：国家社会科学基金项目“面向用户PIM的图书馆服务研究”(项目编号:19BTQ033);高校协同创新项目“数字创新驱动的组织行为变革与能力建设”(项目编号:GXXT-2023-064)的成果。

摘　　要：[目的/意义]探究数据情境下的编排行为及其价值创造机制,为数据管理、数据价值化提供新思路。[方法/过程]基于数据特征、数据场景而改进传统的编排理论模型,提出包含数据资源管理、数据资产编排、数据资本运作三个模块及相关流程的数据编排理论模型,并根据资源化、资产化、资本化这一数据形态演化路径,细化分析每个数据编排模块及流程对于数据价值化的作用。[结果/结论]构建数据编排的理论框架以拓展数据管理的思路,从微观主体行为层面提出数据价值化实现的新路径。[Purpose/significance]Exploring the orchestration behavior and value creation mechanisms in the context of data scenarios,providing new insights for data management and the valorization.[Method/process]Based on the characteristics of data and data scenarios,the traditional orchestration theory model is improved.A data orchestration theoretical theory model is proposed,which includes three modules:data resource management,data asset orchestration,and data capital operation,along with related processes.According to the evolution path of data form of resourceization,assetization and capitalization,a detailed analysis is conducted on the role of each data orchestration module and process in the valorization of data.[Result/conclusion]Constructing a theoretical framework for data orchestration to expand the thinking of data management,and proposing a new path for the realization of data valorization from the perspective of micro-subject behaviors.

关 键 词：数据编排 数据价值化 数据要素 编排理论 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]