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企业高质量数据集建构:内涵特征、逻辑框架与未来展望

张博睿 陈桃 胡婕 夏义堃

信息资源管理学报2026,Vol.16Issue(2):55-68,14.
信息资源管理学报2026,Vol.16Issue(2):55-68,14.DOI:10.13365/j.jirm.2026.02.055

企业高质量数据集建构:内涵特征、逻辑框架与未来展望

Constructing High-Quality Enterprise Data Sets:Connotations,Characteristics,Logical Framework and Future Prospects

张博睿 1陈桃 2胡婕 2夏义堃3

作者信息

  • 1. 南京大学数据管理创新研究中心,苏州,215163
  • 2. 南京大学-中国移动联合研究院,南京,210029
  • 3. 南京大学数据管理创新研究中心,苏州,215163||南京大学数据智能与交叉创新实验室,南京,210046
  • 折叠

摘要

Abstract

Analyzing the connotation,characteristics and logical framework of enterprise high-quality dataset con-struction is essential to unlocking data value and enabling firms'digital-intelligent transformation.This paper concep-tualises enterprise high-quality datasets,identifies six core attributes,establishes a three-dimensional framework(val-ue,scenario,technology)based on socio-technical systems theory to provide theoretical support for the construction of high-quality corporate datasets under the"AI Plus"background;subsequently,from the analytical perspectives of the data value chain and data life cycle theories,it constructs a five-dimensional model encompassing scenario demand perception,data resource weaving,knowledge resource extraction,data-knowledge integration and refinement,and a digital-intelligence service ecosystem;finally,in response to the practical dilemmas currently faced by enterprises,the study proposes targeted optimization strategies,suggesting that future efforts should focus synergistically on data sce-nario shaping,data aggregation and governance,data labeling optimization,and data security assurance to overcome the bottlenecks of high-quality dataset construction,enhance the value-enabling efficiency of data elements,and pro-vide robust support for the digital-intelligence transformation and high-quality development of enterprises.

关键词

人工智能+/企业数据/高质量数据集/数据要素/数据治理

Key words

Artificial intelligence plus/Enterprise data/High-quality datasets/Data elements/Data governance

分类

社会科学

引用本文复制引用

张博睿,陈桃,胡婕,夏义堃..企业高质量数据集建构:内涵特征、逻辑框架与未来展望[J].信息资源管理学报,2026,16(2):55-68,14.

基金项目

本文系南京大学-中国移动联合研究院课题"江苏移动数据要素布局和路径研究"(NJ20250045)研究成果之一.(This paper is one of the research outcomes of the project of Nanjing University-China Mobile Joint Research Institute"Research on the Layout and Path of Data Elements of Jiangsu Mobile"(NJ20250045).) (NJ20250045)

信息资源管理学报

OACHSSCD

2095-2171

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