Analysis of the quality guarantee for testing data in scientific research laboratories in colleges and universities
[Objective]Currently,journals occasionally retract research papers because of"unreliable images and data."To address this problem,an innovative data management method for scientific research laboratories is proposed.The aim is to improve the data quality of scientific research laboratories in colleges and universities,innovate new models for data management,standardize laboratory management,guarantee the accuracy and reliability of experimental data,build high-level laboratories,and thus provide strong support for scientific achievements.Through investigation and in-depth analysis,this paper proposes countermeasures and suggestions to improve data management in scientific research laboratories.[Methods]According to the working idea of standardized testing in China Metrology Accreditation(CMA)laboratories,this paper analyzes approaches to guaranteeing the data quality of CMA laboratories in universities,including constructing a CMA laboratory system and ensuring factors and control methods of data quality.This paper compares research laboratories and CMA laboratories in universities,analyzes the reasons for quality problems,and proposes countermeasures from aspects of control methods for data quality and construction strategies for research laboratories,combined with the actual situation of university research laboratories.[Results]The research on the current situation and existing problems of data management for scientific research laboratories in universities concluded that the data source of scientific research laboratories was usually dynamic data,and many control methods for data quality can be used in dynamic data testing to guarantee the accuracy and reliability of data.Regarding the CMA Laboratory,a quality management system suitable for scientific research laboratories in universities is constructed.The data quality is guaranteed using the following approaches:① Paying close attention to laboratory personnel training,② offering regular instrument lectures,③ normalizing instrument maintenance,and ④ Guaranteeing the digital experimental testing conditions.Meanwhile,suggestions are made from the paradigms of"management"and"technology"to guarantee data quality in research laboratories.Combining the innovative practice of agrobiology and the environmental science analysis center with the physical and chemical testing center of Zhejiang University,a novel model of data management for scientific research laboratories is realized,and the approach and effectiveness of improving scientific research laboratories are verified.The construction of the framework of university research laboratories from the perspective of CMA promotes the use of superior resources of university CMA laboratories,strengthens the service function,guarantees the data quality of research laboratories,and provides a new option for managing university laboratories.[Conclusions]The management of scientific research laboratories in universities is a complex system of engineering that requires a continuous summary of experiences in practical work,combined with its characteristics of scientific research laboratories,improving and innovating according to the national and school assessments and evaluation of large-scale instruments,strengthening information empowering laboratory governance capabilities and levels,improving the data quality of scientific research laboratories,facilitating high-level development of scientific research,and boosting high-quality development for"Double First Class"construction.
data qualityqualification accreditationanalysis and testing
万方数据
维普
