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

作　　者：Chaolemen Borjigin Qingwen Jin 

机构地区：[1]Key Laboratory of Data Engineering and Knowledge Engineering,Renmin University of China,Beijing,China [2]School of Information Resource Management,Renmin University of China,Beijing,China

出　　处：《Data Science and Informetrics》2023年第3期1-17,共17页数据科学与信息计量学（英文）

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

摘　　要：Both computer science and archival science are concerned with archiving large-scale data,but they have different focuses.Large-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 management.Its weaknesses lie in inadequate and non-standardized management.Archiving 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 Data.Therefore,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.

关 键 词：Data archiving Archive Science Computer Science Large-scale data Data storage 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]