Abstract:

\[Purpose/Significance\] This paper aims to innovate the scientific research service mode in universities and improve the management efficiency of scientific research. \[Design/Methodology\] Firstly, the paper analyzes the relevant problems in the integration of educational big data, and constructs a multi-source heterogeneous education big data dimension version based on the perspective of university researchers' behavior. Secondly, from the perspective of researchers’individualized demands, this study designs a scientific research service platform integrating multisource heterogeneous education data, and also explores the big data workflows of university scientific research service. Finally, taking scientific research full-data practicing system and five typical scenarios of scientific research application service as examples, the relevant application practices are provided. \[Findings/Conclusion\] This study analyzes and explores scientific data. It also shed a light on scientific research management in universities. \[Originality/Value\] This research could provide some theoretical guidance for universities to improve the quality of individualized scientific research service, evaluate the research of individuals and teams, assist to analyze the advantages and disadvantages of individuals and teams, and guide decision-makers to improve efficiency of scientific research management.

Key words: University scientific research service system, Multi-source heterogeneous education big data, Scientific research users’behavior, Scientific research full data