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基于可信数据空间架构的高质量数据集建设

张群洪 李林 杨堃 陈爽 张彬斌 叶自燊

大数据2026,Vol.12Issue(5):1-20,20.
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大数据2026,Vol.12Issue(5):1-20,20.DOI:10.11959/j.issn.2096-0271.BDR26084

基于可信数据空间架构的高质量数据集建设

High-quality dataset construction based on the trusted data space architecture

张群洪 1李林 2杨堃 3陈爽 4张彬斌 3叶自燊5

作者信息

  • 1. 数字福州集团有限公司,福建 福州 350009
  • 2. 闽都创新实验室,福建 福州 350108||上海临港北京大学国际科技创新中心,上海 201306||福建省数智双碳创新研究院,福建 福州 350014
  • 3. 福州数据集团有限公司,福建 福州 350207
  • 4. 福州市电子信息集团有限公司,福建 福州 350207
  • 5. 闽都创新实验室,福建 福州 350108||福建省数智双碳创新研究院,福建 福州 350014
  • 折叠

摘要

Abstract

High-quality dataset is a critical foundation for advancing artificial intelligence(AI).However,significant practical challenges were identified in existing development models,including static and preset quality evaluations,difficulties in forming closed-loop business models,and a disconnect from the real economy.In response,a new paradigm for building high-quality dataset was proposed and justified:the development of high-quality dataset was deeply integrated into the data factor market,and data quality was dynamically defined through market-based circulation and multi-dimensional user feedback.This paradigm was centered on"empowerment of the real economy as the main focus and AI training services as a supplement".Trustworthiness,controllability,and measurability in data circulation were ensured under this paradigm using a"trusted data space based on real-virtual integration",supported by full-flow circulation mapping and large models for data circulation.On this basis,a full-process technical solution was designed—from data resource market entry to precise distribution—and sustainable business models and incentive mechanisms were established.These efforts provided innovative ideas for shifting the development of high-quality dataset from a"static,supply-driven"approach to a"dynamic,market-driven,and ecosystem-based operational"model.

关键词

高质量数据集/可信数据空间/数据要素市场/动态质量评价/实数融合

Key words

high-quality dataset/trusted data space/data factors market/dynamic quality evaluation/reality-data integration

分类

信息技术与安全科学

引用本文复制引用

张群洪,李林,杨堃,陈爽,张彬斌,叶自燊..基于可信数据空间架构的高质量数据集建设[J].大数据,2026,12(5):1-20,20.

基金项目

福建省技术创新重点攻关及产业化项目"面向数据要素流通的数据资产可信管理系统关键技术研发及产业化"(闽工信函软件[2025]587号) (闽工信函软件[2025]587号)

2025年度福州市人工智能"揭榜挂帅"科技重大项目(No.2025-ZD-036) Fujian Provincial Software Industry Key Technology Innovation Breakthrough and Industrialization Project(Mingongxinhan Ruanjian[2025]No.587),2025 Fuzhou"Jiebang Guashuai"Major Science and Technology Project for Artificial Intelligence(No.2025-ZD-036) (No.2025-ZD-036)

大数据

2096-0271

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