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[目的 /意义]从“互联网+”的视角研究科研用户小数据的动态获取与跨界融合问题。[方法/过程]分析小数据的内涵和特征,梳理科研用户小数据的来源与构成,从科研用户环境、科研用户需求以及科学研究模式3个角度分析科研用户小数据融合的重要性。在此基础上,重点探讨面向科研用户小数据融合的主要原则与具体过程。[结果 /结论]科研用户的小数据融合包括基础库、关联级融合、特征级融合和需求级融合4个层面,并通过数据收集——数据关联——特征提取——知识需求的方式,高效促进小数据的融合创新,为科研用户潜在需求的预测与个性服务的推送提供支持。
[Purpose / Significance] To study the dynamic acquisition and cross-border integration of scientific user’s small data from the perspective of “Internet +”. [Methods / Processes] Analyzing the connotation and characteristics of small data and combing the sources and components of small data for scientific research users, the importance of small data fusion for research users is analyzed from the perspectives of user environment, research user needs and scientific research models. On this basis, we will focus on the main principles and the specific process of small data fusion for research users. [Result / Conclusion] The research user’s small data fusion includes basic database, association level integration, feature level integration and demand-level integration. And through data collection-data association-feature extraction-knowledge demand, Promote the convergence of small data innovations, to predict the potential demand for research users and personal services to provide support.