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数据组件:一种面向数据跨域流通可信抽象和封装方法OA

Data components:a trusted abstraction and encapsulation method for cross-domain data flow

中文摘要英文摘要

数据作为关键生产要素,具有自由流动、动态组合、跨域融合和使用增值等特征,但在跨域流通、数据孤岛连通与标准化处理等方面仍面临挑战.从软件系统视角提出数据组件抽象模型和封装方法,将数据要素抽象为独立、轻量、可复用的最小单元即数据组件,具备可寻址、可交换、可操作与可管控特性;设计实现数据组件注册和发布机制,以规范化协议支撑数据组件发现与互操作,提供统一描述、封装发布、发现获取、动态组合与可信交互等能力,支撑数据要素跨域可信高效流通.以健康养老数据共享场景为例,设计实现数据组件共享原型系 统 进 行 验 证,实验表明,相较传统微服务模式,跨域传输成功率提升 13%,访问成功率提升11%,检索命中率提升15%,调度成功率提升20%.

Data,as a key production factor,has characteristics such as free flow,dynamic combination,cross-domain integration,and value-added utilization.However,it still faces challenges in cross-domain circulation,connecting data silos,and standardized processing.This pa-per proposes a data component abstraction model and encapsulation method from a software system perspective,abstracting data elements into independent,lightweight,and reusable minimum units—data components—possessing addressable,exchangeable,operable,and manageable characteristics.A data component registration and publishing mechanism is designed and implemented,using standardized protocols to support data component discovery and interoperability,providing capabilities such as unified description,encapsulation and publishing,discovery and acquisition,dynamic combination,and trusted interaction,supporting the reliable and efficient cross-domain flow of data elements.Taking a health and elderly care data sharing scenario as an example,a prototype system for data component sharing is designed and implemented for verification.Experimental results show that compared to the traditional microservice model,the cross-domain transmission success rate increases by 13%,the access success rate increases by 11%,the retrieval hit rate increases by 15%,and the scheduling success rate increases by 20%.

林绍福;李云江;王宇航;贾晓丰

北京工业大学 计算机学院,北京 100124北京工业大学 计算机学院,北京 100124北京市大数据中心,北京 100193北京市大数据中心,北京 100193

信息技术与安全科学

数据组件数据解耦可信抽象标准化封装互操作机制

data componentdata decouplingtrusted abstractionstandardized encapsulationinteroperability mechanism

《网络安全与数据治理》 2026 (4)

17-26,10

10.19358/j.issn.2097-1788.2026.04.003

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