Abstract: 【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.【Re⁃
sult/conclusion】The department can improve the efficiency of scientific research as well as the service level of scientific re⁃
search management, so as to make the scientific research more intelligent.