智慧图书换数字韧性的构建机制研究：“数据要素-数字技术”双轮驱动视角

doi:10.13998/j.cnki.issn1002-1248.25-0727

Abstract

Abstract:

[Purpose/Significance] As the core hub for public cultural services and the inclusive dissemination of knowledge, the digital transformation of smart libraries is accelerating continuously. However, they also face multiple digital risks such as data fragmentation, insufficient technological adaptation, and prominent system vulnerabilities, which seriously constrain the stability and sustainability of public cultural services. The construction of digital resilience has become a key support for smart libraries to respond to environmental changes and ensure the realization of core functions. This paper focuses on the sustainable development demands of smart libraries in the digital age. Based on the dual-wheel drive perspective of "data elements-digital technology", it explores the generation logic and improvement path of digital resilience. This approach can not only provide a new dimension for improving the theoretical system of digital risk governance in smart libraries, but also provide practical solutions to solve real problems such as data fragmentation and insufficient technical adaptation. Furethermore, it can enhance the stability and efficiency of public cultural services. [Method/Process] Supported by theories of data governance, technological innovation and organizational resilience, this research adopts a progressive approach of literature review, logical deconstruction, framework construction and path optimization, and integrates literature research methods, system deconstruction methods and logical deduction methods. We systematically analyze the penetration and impact of data elements and digital technologies on the resources, services, technologies, and organizational dimensions of smart libraries, clarify the correlation logic and operational mechanism between dual-wheel drive and digital resilience, construct practical approaches from two aspects: the release of data element value and the collaboration of digital technology clusters, and provide a multi-dimensional guarantee system. [Results/Conclusions] The core essence of digital resilience in smart libraries lies in their dynamic adaptation, efficient response, and continuous evolution capabilities in the face of digital risks. Its formation relies on the deep collaboration between data elements and digital technologies: Data elements, by building a multimodal collaborative data ecosystem, break down information silos and lay a solid resource foundation for digital resilience. Digital technology, relying on the collaborative efforts of technology clusters such as big data, artificial intelligence, and blockchain, has formed a full-cycle risk response technology system covering risk perception, emergency response, and system recovery. The coupled interaction between the two promotes a qualitative leap in digital resilience from passive risk resistance to active value creation, ultimately achieving a deep integration and development driven by data elements - digital technology-driven and resilience construction. Based on this, practical suggestions are put forward. Smart libraries should strengthen the standardized construction of data governance, promote the scenario-based application of technology clusters, and improve the cross-departmental collaboration mechanism.

Key words: digital resilience, smart library, data elements, digital technology

CLC Number:

G250.7

WU Yuhao, ZHOU Zhigang, LIU Wei. Digital Resilience of Smart Libraries Driven by Data Elements - Digital Technology[J].Journal of library and information science in agriculture, 2026, (): 1-16.

Figures/Tables 6

Fig.1

Table 1

Comparison of the old and new paradigms of library risk response models"

维度特征	传统图书馆风险应对模式	双轮驱动下智慧图书馆数字韧性模式
核心驱动	以人工经验与单一技术工具为核心，依赖事后故障修复与静态预案，风险应对遵循问题导向逻辑	以数据要素价值释放与数字技术集群协同为双轮驱动，依托全周期风险治理与动态适配机制，韧性建设遵循预防、应对、恢复和优化的闭环逻辑
风险感知	依赖人工巡检与用户反馈发现风险，感知范围局限于硬件故障等显性问题，存在滞后性与片面性	通过多源数据融合分析与数字技术实时监测，实现显性故障与隐性风险的全域感知
资源支撑	风险应对资源以物理设备备份与人工储备为主，资源调配依赖部门间人工协调，效率低下且联动性差	构建多模态数据资源池与弹性技术资源网络，数据要素实现跨领域资源语义关联，数字技术支撑资源动态调度，形成数据、技术与人力协同支撑体系
应对机制	采用标准化应急流程，应对策略固化且缺乏灵活性，难以适配复杂多变的数字风险场景	依托人工智能算法生成动态应急方案，区块链技术保障风险处置过程可追溯，云计算实现跨区域资源协同响应，形成场景化、智能化的应对机制
恢复能力	服务恢复依赖人工逐项排查与系统重装，恢复周期长且易出现数据丢失，难以保障服务连续性	通过数据备份技术与恢复算法实现关键数据秒级还原，数字孪生技术模拟恢复过程并优化路径，结合用户行为数据精准定位服务断点，提升恢复效率与质量
优化路径	基于事后经验总结优化风险应对策略，迭代周期长且缺乏数据支撑，难以形成持续改进能力	依托风险应对数据与用户反馈数据，通过机器学习算法挖掘风险演化规律，自动生成技术优化与制度完善建议，实现韧性体系的动态迭代
价值目标	以恢复基础服务功能为核心目标，价值衡量聚焦故障解决效率，未体现风险应对的增值效应	在保障服务连续性基础上，通过风险应对过程实现数据价值深化、技术能力升级，形成风险应对和价值创造的双重目标

Table 1

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