Large-scale data archiving: At the interface of archive science and computer science

作     者：Chaolemen Borjigin Qingwen Jin 

作者机构：Key Laboratory of Data Engineering and Knowledge EngineeringRenmin University of ChinaBeijingChina School of Information Resource ManagementRenmin University of ChinaBeijingChina 

出 版 物：《Data Science and Informetrics》 (数据科学与信息计量学（英文）)

年 卷 期：2023年第3卷第3期

页      面：1-17页

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

基　　金：supported by the National Natural Science Foundation of China(grant number 72074214) 

主　　题：Data archiving Archive Science Computer Science Large-scale data Data storage 

摘      要：Both computer science and archival science are concerned with archiving large-scale data,but they have different ***-scale data archiving in computer science focuses on technical aspects that can reduce the cost of data storage and improve the reliability and efficiency of Big Data *** weaknesses lie in inadequate and non-standardized *** in archival science focuses on the management aspects and neglects the necessary technical considerations,resulting in high storage and retention costs and poor ability to manage Big ***,the integration of large-scale data archiving and archival theory can balance the existing research limitations of the two fields and propose two research topics for related research-archival management of Big Data and large-scale management of archived Big Data.