Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper investigates and analyzes the status of postgraduate data literacy courses of library-information-archival science in 10 top-ranking universities in Double First-Class line, in order to promote data literacy education on postgraduate, and optimize the data literacy ecology of teaching at the present stage.[Method/process] Using online survey and content analysis methods, and selecting 10 top-ranking universities of library-information-archival science in Double First-Class line, this paper analyzes the characteristics of their data literacy courses, including curriculum analysis and course content analysis. Based on this, the characteristics and shortcomings of data literacy education on postgraduate of library-information-archival science in 10 top-ranking universities in Double First-Class line were expounded.[Result/conclusion] The data literacy education on postgraduate of library-information-archival science in 10 top-ranking universities in Double First-Class line has been initially explored. The relevant data literacy courses are also embedded and guaranteed in the number of courses. However, The data literacy education has a dilemma with uneven distribution of content and slight imbalance in structure from the perspective of content setting. This paper puts forward to corresponding suggestions on the data literacy education of postgraduate in line with three aspects including the demand-driven, subject construction and resource empowerment.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper proposes an emergency information quality evaluation system in the big data environment to help screen out high-quality emergency information in view of the new challenges faced by emergency information quality management in the current big data era.[Method/process] Based on the characteristics of emergency information in big data environment and the demand analysis for high-quality emergency information in emergency management, an emergency information quality evaluation system in big data environment was designed and constructed. Furthermore, the cloud model was used to evaluate the domestic emergency information in EPS database and EM-DAT emergency database.[Result/conclusion] The evaluation results are in good agreement with the actual situation, which indicates that the evaluation system has certain significance for guiding the quality evaluation of emergency information.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The problem of low user retention rate of digital health Apps has always been difficult to solve. This paper aims to clarify the perceived value factors and influencing paths that affect users' continuous adoption of digital health Apps, so as to provide reference for future improvement strategies of digital health Apps.[Method/process] Based on the perspective of perceived value, this paper adopted the research methods of content analysis and fuzzy set qualitative comparative analysis. Summarized the factors from users' negative comments on digital health Apps, and explored the configurations leading to users' continuous adoption of digital health Apps.[Result/conclusion] The study found that system value, update value, environment value, inquiry value, transaction value and security value were the influencing factors of users' continuous adoption of digital health app; three effective configurations were generated through fsQCA 3.0, which were CA1:high update value*high transaction value*high security value*high inquiry value; CA2:high update value*high transaction value*high security value*high environmental value*high system value; CB:low system value*high update value*high security value*high inquiry value*high environmental value. Finally, we analyzes the influencing factors and configurations, and provides practical enlightenments for the future development of digital health Apps.
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