情报科学 ›› 2021, Vol. 39 ›› Issue (11): 187-193.

• 综述 • 上一篇    

档案数据研究进展与研究题域

  

  • 出版日期:2021-11-01 发布日期:2021-11-15

  • Online:2021-11-01 Published:2021-11-15

摘要: 【目的/意义】档案数据引起了档案学界业界的高度重视,正成为目前档案学研究的热点问题和前沿课题,开
展档案数据研究具有重要的理论意义和实践价值。【方法/过程】文章采取内容分析法和实践调研法,对当前档案数
据的概念特征、形成背景、管理对象、管理方法等研究内容进行了系统梳理和总结归纳,提出档案数据研究正处于
“破题”阶段,相关研究内容较为零散,不系统、不完整,缺乏整体性思考,亟需加强理论探索和实践研究,创建档案
数据管理理论体系与知识体系。【结果/结论】围绕大数据时代档案信息资源数字化数据化转型,引入数据科学与数
据管理的理论方法,重点聚焦档案数据生态环境、基本内涵、形成机理、管理主体、质量控制、利用策略、安全防护、
治理体系等主题展开研究,推动档案数据理论创新,建立档案数据管理新范式。【创新/局限】在系统梳理档案数据
研究现状基础上,探索提出未来档案数据研究的潜在题域。

Abstract: 【Purpose/significance】The study of archival data is the highlight and the forefront in the field of domestic archives, there?
fore it is of important theoretical significance and practical value.【Method/Process】The paper adopts content analysis method and
practical research method to systematically sort out and summarize the current research contents on the conceptual characteristics, for? mation background, management objects and management methods of archival data, suggesting that the research on archival data is at the stage of“breaking”, and the relevant research contents are fragmented, unsystematic and incomplete. It is urgent to strengthen the? oretical exploration and practical research, and create a theoretical system and knowledge system of archival data management.【Re? sult/conclusion】Focusing on the digitalization and data transformation of archival information resources in the era of big data, the pa? per introduces the theoretical approaches of data science and data management, focusing archival data ecological environment, basic connotation, formation mechanism, management subject, quality control, utilization strategy, security protection, governance system and other topics, promoting theoretical innovation of archival data, and establishing a new paradigm of archival data management.【In? novation/limitation】On the basis of systematically combing the status quo of archival data research, explore and propose potential top? ics for future archival data research.