Research on Data Quality Control Mode in University Scientific Research Project Cycle

Tang Jing; Qu Wenjian

doi:10.13266/j.issn.2095-5472.2020.003

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Knowledge Management Forum ›› 2020, Vol. 5 ›› Issue (1) : 24-35. DOI: 10.13266/j.issn.2095-5472.2020.003

Research on Data Quality Control Mode in University Scientific Research Project Cycle

Tang Jing ¹ ,
Qu Wenjian ²

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Abstract

[Purpose/significance] This paper aims to provide an effective control approach and method for the data quality control in the scientific research project cycle of universities. [Method/process] It built a data quality and quality control architecture system around the scientific research project cycle and the data quality control cycle, and implemented data quality control from the perspectives of cognition, management, and process under this system, and introduced quality gap models and companies. Control methods such as architecture model and process analysis analyzed the data quality control mechanism in the scientific research project cycle of universities. [Result/Conclusion] A scientific research data quality control architecture system and a data quality control model suitable for the scientific research project cycle were established, which provided theoretical support for the quality control of scientific research data in universities.

Key words

data quality / research project cycle / research environment / quality gap model / enterprise architecture model

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Tang Jing , Qu Wenjian. Research on Data Quality Control Mode in University Scientific Research Project Cycle[J]. Knowledge Management Forum. 2020, 5(1): 24-35 https://doi.org/10.13266/j.issn.2095-5472.2020.003

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