Author(s)

Yang Lei ¹

Affiliation(s)

¹ Yunnan Open University, Kunming, China

Corresponding Author

Yang Lei

ABSTRACT

Based on the spiritual guidance of the national implementation of the data outline, the functions of various scientific research management platforms at the current national to provincial levels are investigated, the technical and functional characteristics of data-driven scientific research management platforms are analyzed, and the design scheme of existing technical compatibility and multi-platform cooperation is proposed. The platform uses the unified identity authentication technology to realize the data docking and integration of personnel system and financial system. Based on the data element model, the user classification and role management functions are realized, so as to realize the integration of scientific research fund budget and financial execution. The platform can track and manage the whole life cycle of project content and funds, and at the same time, it can use the network to assist the management of scientific research results, collect the authenticity of paper results in real time, and integrate visual data analysis function, which provides scientific decision-making basis for managers in the process of funding support, project establishment, review and other processes, and provide information support for the research trends of researchers.

KEYWORDS

Research management platform, technical characteristics, functional characteristics, full lifecycle management

CITE THIS PAPER

Yang Lei, Design and Research of Data-driven Scientific Research Management Platform. Advances in Computer, Signals and Systems (2023) Vol. 7: 105-111. DOI: http://dx.doi.org/10.23977/acss.2023.071115.

REFERENCES

[1] Ye Jiajia. Optimization Practice of Scientific Research Management System in Higher Vocational Colleges under the Background of "Streamlining Administration and Servicing" - Taking GM School as an Example [J]. Journal of Zhejiang Industry and Trade Vocational and Technical College, 2023, 23 (03): 29-33.
[2] Zou Yu, Wang Yixuan. The Application of Big Data Technology in Scientific Research Management Systems [J]. Electronic Technology, 2023, 52 (10): 292-293.
[3] Xu Chaojun. Research on the Construction of Information Management Systems Based on Big Data Technology [J]. Information Systems Engineering, 2023, (11): 23-26.
[4] Qin Jie, Xu Chang, Xie Jun, et al. Construction and Application of Smart Hospital Research Management System [J]. China Health Quality Management, 2023, 30 (10): 24-27. DOI: 10.13912/j.cnki. chqm. 2023.30.10.06.
[5] Li Naiwen. A Brief Discussion on the Construction of New Information Management Systems in Scientific Research Institutes - Review of "Research on Information Management Models for Science and Technology Projects" [J]. Science and Technology Management Research, 2023, 43 (19): 259.

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