大数据时代高校图书馆科学数据集的自组织模式研究

文章分析了大数据时代高校图书馆科学数据集的自组织模式建设和推行的必要性,总结了当下高校图书馆科学数据集的自组织模式建设原则。在论述当前高校图书馆科学数据集的自组织模式建设主要难点的基础上,从云计算系统安全管理、图书馆数据资源集成、数据资源应用平台管理维护标准、共享服务平台角度提出了实施方略,以延伸图书馆科学数据集自组织模式功能为核心,提高数据处理效能。最后结合高校图书馆科学数据集的自组织模式数据资源即时性、交互性、共享性的特点,从自组织模式先进性、可靠性、可扩展性等方面进行探讨,论述了以计算机、大数据技术为核心的系统构建方法。

Study on Self-organizing Model of Scientific Data Set in University Library in the Era of Big Data

This paper analyzed the necessity for the construction and implementation of self-organizing model of scientific data set in university library in the era of big data, and summarized the construction principles. Based on the discussion about the main difficulties of self-organizing model construction, it proposed the implement strategies from computing system security management, library data resource integration, data management and maintenance standards, resources application platform sharing service platform, to improve the data processing efficiency with the function extending as the core. Combining with the real-time, interactive and sharing characteristics of self-organizing model data resources of scientific data set in university library, it discussed the advancement, reliability, expansibility of self-organizing model, and proposed the system construction methods with computer, big data technologies as the core.