建构与解构:生命周期视角下的档案数据质量控制探析  

Construction and Deconstruction:Analysis of Archival Data Quality Control from the Perspective of Life Cycle

作　　者：林凯 周林兴 LIN Kai;ZHOU Linxing(School of Urban Governance and Public Affairs of Suzhou City University,Suzhou 215104;School of Cultural Heritage and Information Management,Shanghai University,Shanghai 200444)

机构地区：[1]苏州城市学院城市治理与公共事务学院,苏州215104 [2]上海大学文化遗产与信息管理学院,上海200444

出　　处：《档案学研究》2025年第2期121-129,共9页Archives Science Study

基　　金：国家档案局科技项目“面向‘数据要素X’行动的档案数据安全治理体系及关键技术研发与应用研究”(2024-X-016)的阶段性研究成果。

摘　　要：大数据时代,档案数据迅速增长、难以管控,数据质量问题严重限制了档案数据价值的发挥,开展档案数据质量控制研究具有重要意义。通过系统梳理有关文献,阐述档案数据质量控制的出场逻辑,借鉴生命周期理论,将档案数据生命周期过程划分为数据生成、数据收集、数据组织与分析、数据归档与保存、数据发布与利用五个环节,并立足于档案数据生命周期,将档案数据质量控制过程建构为前端、中端、后端三个阶段,再对每一阶段的质量控制过程进行解构,以期为提升档案数据质量提供有价值的研究参考。In the era of big data,archival data has grown rapidly and is difficult to control.Data quality problems have seriously limited the value of archival data,so it is of great significance to carry out research on archival data quality control.Systematically reviewing relevant literature,this paper elaborates on the logic of quality control for archival data and,drawing on the life cycle theory,divides the process of archival data life cycle into five stages:data generation,data collection,data organization and analysis,data archiving and preservation,and data release and utilization.Based on the lifecycle process of archival data,the quality control of archival data is constructed into three stages:front-end,mid-end,and back-end.The quality control process of each stage is deconstructed to provide valuable research references for improving the quality of archival data.

关 键 词：生命周期 档案数据 数据质量 质量控制 质量优化 

分 类 号：G270.7[文化科学—档案学]