其他摘要：[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.
关键词：数据质量;科研项目周期;科研环境;质量差距模型;企业架构模型
其他关键词：data quality; research project cycle; research environment; quality gap model; enterprise architecture model
