大数据环境下图书馆决策机制的优化及实现

Optimization and Realization of Library Decision-making Mechanism under Big Data Environment

文章就图书馆解决传统决策中由于决策能力不足和技术落后而面临的诸多困境进行了详细分析。在此基础上,借助大数据分析技术从图书馆决策机制强调共享、开放和创新价值的实现、催生扁平化决策结构的建立、推动决策过程中集体智慧与数据理性的相互融合、打破传统科层制决策带来的局限及建立民主化的图书馆决策机制等方面论述了图书馆决策机制的优化方向。同时,给出了为实现基于大数据的图书馆决策,需要从提升决策主体数据素养、再造图书馆信息化设施、推动数据融合共享、创新数据馆员培育模式、建立数据安全保障体系等实践路径。

The article makes a detailed analysis of the difficulties that the library is confronting in the traditional decision making for lacking decision-making ability and because of the undeveloped technology. On this basis, it discusses the optimization of library decision making mechanism under Big Data environment from 4 aspects. Meanwhilt, it suggests us improving data quality of decision makers, reconstructing library information facilities, promoting data fusion and sharing, innovating data librarian training mode, and establishing data security system.