关键词: 应用场景, 智慧图书馆, 数据协同治理, 数据要素, 数据价值

Abstract:

[Purpose/Significance] In response to the urgent need for deep digital transformation and the release of data value in smart libraries, this study is based on the research perspective of integrated application scenarios and data collaborative governance. It targets commonly encountered in smart libraries, such as fragmented data governance, insufficient collaboration among entities, weak scene adaptation, and the disconnection between theory and practice. This study breaks through the limitation of existing research that only regards scenarios as external application conditions. Taking scenario demands as the core driving force and internal logic for constructing governance mechanisms, it systematically explores the internal mechanisms and implementation paths of application scenarios that drive data collaborative governance. It further improves the theoretical system of smart library data governance and fills the academic gap in the research on integrating scenario-driven and collaborative governance. It also provides innovative ideas and theoretical support for enhancing the efficiency of allocating data resources, strengthening the enabling effect of smart services, and supporting the high-quality development of public cultural services. [Method/Process] With scenario theory and collaborative governance theory as the core theoretical basis, and by comprehensively applying methods such as theoretical deduction, framework construction, case empirical research, and normative research, this study analyzed the connotation and operational characteristics of application scenarios that drive data collaborative governance. It scientifically classified smart library applications into three types: core basic, value-added innovative, and emergency response. It also constructed a governance mechanism with five interlinked and differentiated subjects, objects, platforms, technologies, and systems adapted to different scenarios. It selected the Jiaxing City Library as an example to empirically verify, extracting and forming operational, replicable, and promotional governance strategies and implementation paths. [Results/Conclusions] The research indicates that there is a significant dynamic coupling, bidirectional iteration, and closed-loop evolution relationship between application scenarios, data collaborative governance mechanisms, and the development vision of smart libraries. The targeted allocation of governance elements is driven by scenario demands, and the iterative upgrade of scenarios is driven by governance effectiveness feedback. Efficient implementation is achieved through scenario design optimization, element resource allocation, data integration applications, and effectiveness evaluation feedback. The research verifies the scientific basis and practical feasibility of the theoretical framework. It can alaso provide valuable insights for enhancing the efficiency of smart library data governance and maximizing data value. This study is limited because as it only uses single-case empirical research. Further research can be carried out in the future in areas such as multi-case comparisons, cross-regional library collaborations, the deep integration of digital and intelligent technologies, and long-term governance mechanisms.

Key words: application scenarios, smart library, data collaborative governance, data elements, data value