跨域数据管理  

Cross-domain Data Management

作　　者：杜小勇[1,2] 李彤 卢卫 范举 张峰 柴云鹏[1,2] DU Xiaoyong;LI Tong;LU Wei;FAN Ju;ZHANG Feng;CHAI Yunpeng(Key Laboratory of Data Engineering and Knowledge Engineering(Renmin University of China),Beijing 100872,China;School of Information,Renmin University of China,Beijing 100872,China)

机构地区：[1]数据工程与知识工程教育部重点实验室(中国人民大学),北京100872 [2]中国人民大学信息学院,北京100872

出　　处：《计算机科学》2024年第1期4-12,共9页Computer Science

摘　　要：随着数据成为新的生产要素和数字中国顶层战略的推进,跨域数据共享和流通对于实现数据要素价值最大化变得至关重要。国家通过布局全国一体化大数据中心体系、启动“东数西算”工程等一系列举措,为数据要素的跨域应用提供了基础设施。然而,传统的数据管理局限于单一域内,无法满足跨域场景下的数据管理需求。跨域数据管理面临通信层面的跨空间域挑战、数据建模层面的异构模型融合问题,以及数据访问层面的跨信任域挑战。从跨空间域、跨管辖域和跨信任域3个视角出发,探讨了跨域数据管理的内涵、研究挑战及关键技术,并展望了其未来发展趋势。As data becomes a new production factor and the digital China is promoted as a top-level strategy,cross-domain data sharing and circulation play a crucial role in maximizing the value of data factors.The country has taken a series of measures such as completing the overall layout design of the national integrated data center system and launching the“East-West Computing”project,providing infrastructure for the cross-domain application of data factors.Cross-domain data management faces challenges in communication,data modeling,and data access.This paper explores the connotation,research challenges,and key technologies of cross-domain data management from three perspectives:cross-spatial domain,cross-administrative domain,and cross-trust domain,and discusses its future development trends.

关 键 词：数据管理 跨空间域 跨管辖域 跨信任域 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]