多维数据融合的高校科研数据管理模型构建与运行保障研究  

Construction and Operation Guarantee of University Scientific Research Data Management Model Based on Multidimensional Data Fusion

作　　者：吴云峰[1] WU Yun-feng(Changchun University of Science and Technology,Changchun 130022,China)

机构地区：[1]长春理工大学,吉林长春130022

出　　处：《情报科学》2020年第12期110-115,共6页Information Science

基　　金：吉林省社会科学基金项目“吉林省哲学社会科学科研诚信建设研究”(2019wt62)。

摘　　要：【目的/意义】构建多维数据融合的高校科研数据管理模型从而完善高校科研服务创新管理体系,推动高校科研管理发展。【方法/过程】分析高校科研数据维度,对高校科研数据规范化后生成通用XML数据交换格式,构建多维数据融合的高校科研数据管理模型。模型分为数据采集层、数据处理层、数据融合层、发现层以及应用层等五个层次。【结果/结论】通过对多维高校科研数据融合,规范科研工作的流程,提升高校科研院所管理水平,促进科研成果的推广。【Purpose/significance】Building a multi-dimensional data fusion model of university scientific research data management can improve the university scientific research service, innovation management service system and promote the innovative development of university scientific research management.【Method/process】The data sharing feature is used to analyze the data fusion of multi-source and heterogeneous data. Then, the unified data is standardized and analyzed based on ontology technology to generate a general XML data exchange format. Finally, based on the data exchange format, the university scientific research data management model of multidimensional data fusion is constructed. The model is divided into five levels: data acquisition layer, data processing layer, data fusion layer, discovery layer and application layer.【Result/conclusion】The department can improve the efficiency of scientific research as well as the service level of scientific research management, so as to make the scientific research more intelligent.

关 键 词：多维数据 科研数据 数据融合 模型构建 

分 类 号：G644[文化科学—高等教育学]