基于大数据的科技评价方法研究

Research on S&T Evaluation Method Based on Big Data

科技评价对象所涉及的数值、图像、声音具有全媒体、多维度、跨时间的特性,挖掘和运用这些海量数据,转化为直观的、随时间和空间变化的、以图形图像呈现在同行评议专家面前,可以有效提高评价的效率和效果。通过建立众包模式、数据整合和提取规则知识、将科技评价结果应用于实践、建立评价过程交互式可视化的流程以构建基于大数据的科技评价模式,这种模式存在着观念陈旧过时、数据挖掘能力、大数据处理速度、科技评价数据安全等方面的挑战。

S＆T evaluation involved numerical, image, sound have the characteristics of all media, multi-dimension and time-cross. Mining and using these huge amount of data and transforming to intuitive ones which change with time and spaceand are presented in front of the peer review expertsin graphical images, can effec- tively improve the efficiency and effectiveness of the evaluation. Through the establishment of crowd-sourcing model, data integration and knowledge on extraction rules, we applyscience and technology evaluation results intopraetice, and construct evaluation process with interactive visualization in order to promote the construction of science and technology evaluation pattern based on big data. This pattern has challenges such as obsoleteidea, data mining capacity, speed of big data processing, security of S＆T evaluation data and other aspects.