［目的/意义］研究提出学科服务3.0模式,为科学大数据环境下学科馆员团队创新发展提供可借鉴的理论模型和实践参考。［方法/过程］面向科学大数据环境下科学研究新范式新形势,分析学科馆员代际演进趋势,从"创新组织方式" "提高能力素质" "转变工作方式" "拓展服务内容" "提升服务层次" "完善目标追求" 6个维度设计新型组织服务模式,建立"矩阵式+网状式"学科服务团队"双协同"协作体系,创新组织方式,按照"能力专业化""工作精准化"提高能力素质,根据"团队协同化" "过程嵌入化" "合作有温度""品牌高价值"转变工作方式,围绕"四重对象"、沿着科技创新产业链拓展服务内容、提升服务层次,支撑科技管理与决策。在此基础上,以中国科学院某研究所为例开展实证研究。［结果/结论］本研究所构建的学科服务3.0模式在当前科学大数据环境发展下,能有效提升学科服务建设效果,为学科用户提供更好的研究服务与决策支撑。
[Purpose/Significance] This paper proposes a new model for subject service 3.0, which provides theoretical models and practical references for the innovative development of subject librarian teams in the scientific big data environment. [Method/Process] Facing the new paradigm and new situation of scientific research in the scientific big data environment, this paper analyzed the intergenerational evolution trend of subject librarians. It focused on designing a new organization and service model via six dimensions: "innovating organizational method", "improving skill capability" "changing working way" "expanding service content" "improving service level" and "optimizing goal pursuit". It established a "matrix + mesh"(dual collaboration) multi-cooperation system to innovate the organization of subject librarian teams. Furthermore, it improved the skill capability of subject librarians in accordance with the requirements of "ability specialization" "work precise", and changed the working way according to "team collaboration" "embedding process" "warm cooperation" and "high brand value". Additionally, it focused on the "four key objects", along the scientific and technological innovation industry chain, expanded the service content, and improved the service level, thereby supporting scientific and technological management and decision-making. On this basis, it carried out a case study on an institute of Chinese Academy of Sciences. [Result/Conclusion] The new organization service model of subject service 3.0 constructed in this paper, effectively improved the construction effect of subject services in the current scientific big data environment, and provided better research services and decision-making support for users.
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