国家战略视域下档案大数据战略的理论建构与实现路径——评向立文《档案大数据战略及实现路径研究》

档案工作理论与实践 2026 年第 1 期

Archives Work: Theory and Practice 总第 1 期

国家战略视域下档案大数据战略的理论建构与实现路径

——评向立文《档案大数据战略及实现路径研究》

尹鑫舒文静

（武汉大学信息管理学院，武汉 430072）

【摘要】在数字中国建设与国家大数据战略深入实施的背景下，档案作为基础性战略资源，其管理模式与治理体系正面临着数字化转型挑战。《档案大数据战略及实现路径研究》一书立足于新时代档案事业发展的现实需求，综合运用文献计量、实证调研、比较研究等多元方法，构建了逻辑严密、视阈宏阔的档案大数据战略理论体系。该书不仅厘清了档案大数据的概念与理论，更从顶层设计的高度擘画了战略实施的路线图。文章旨在从全书的逻辑架构、鲜明特色及价值贡献三个维度出发，深入剖析该著作在推动档案事业现代化进程中的理论价值与应用前景，以期引发学界对于档案大数据战略的进一步思考。

【关键词】档案大数据；档案数据；档案事业；档案工作

【作者简介】尹鑫，武汉大学信息管理学院档案与政务信息学系讲师、档案智能开发与服务国家档案局重点实验室研究员，邮箱：00035755@whu.edu.cn，主要研究方向为档案学基础理论、新一代人工智能治理、档案可信数据空间；舒文静，武汉大学信息管理学院，硕士研究生，主要研究方向为档案学基础理论、新一代人工智能治理、档案可信数据空间。

Theoretical Construction and Implementation Path of Archival Big Data Strategy from the Perspective of National Strategy：

Review of Xiang Liven's "Research on the Strategy and Implementation Path of Archive Big Data"

YIN Xin, SHU Wenjing

(School of Information Management, Wuhan University, Wuhan 430072)

Abstract: In the broad context of the in-depth implementation of the Digital China construction and the national big data strategy, archives, as a fundamental strategic resource, are facing challenges in their management models and governance systems due to the digital transformation. The book The Archive Big Data Strategy and Its Realization Path is based on the practical needs of the development of archival undertakings in the new era, and comprehensively employs methods such as bibliometric analysis, empirical research, and comparative studies to construct a logically rigorous and broad-sighted theoretical system for the archive big data strategy. This book clarifies the concept and theory of archival big data, and more importantly, from the perspective of top-level design, it sketches out the roadmap for the implementation of the strategy. This article aims to analyze in depth the theoretical value and application prospects of this work in promoting the modernization process of archival undertakings from three dimensions: the logical structure of the book, distinct features, and value contributions. The hope is to trigger further discussions among the academic community on the archival big data strategy.