scholarly journals Investigation and Research on Food Safety Knowledge, Attitude and Behavior of University Students in Kunming Based on Big Data Analysis

2020 ◽  
Vol 1648 ◽  
pp. 022032
Author(s):  
Chunsheng Zhang ◽  
Rui Liu ◽  
Linyu Zhang ◽  
Liangfei Dong
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Food Safety ◽  
University Students ◽  
Big Data Analysis ◽  
And Behavior ◽  
Safety Knowledge

scholarly journals Universities Students' Knowledge About Big Data Analysis

2020 ◽  
Vol 9 (1) ◽  
pp. 50
Author(s):  
Elham Nazari ◽  
Marjan Rasoulian ◽  
Samane Sistani ◽  
Maryam Edalati Khodabandeh ◽  
Hamed Tabesh
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
University Students ◽  
Work Experience ◽  
Basic Science ◽  
Big Data Analysis ◽  
Science Students ◽  
Cross Sectional ◽  
Related Literature ◽  
Fields Of Study

Introduction: Big data analysis has raised controversies today and attracted many students and academics for its dramatic advantages. The present research aims to investigate the extent to which students in different universities of Mashhad are familiar with this type of analysis.Material and Methods: The present cross-sectional research was conducted on university students of different fields of study in Mashhad, Iran. A questionnaire was developed based on a review of the related literature in PubMed, Google Scholar, Science Direct and EMBAS. The target questionnaire explored students' knowledge of big data analysis. To this aim, 142 students participated in this research and completed the target questionnaire. Their responses were analyzed descriptively.Results: The majority age of participants ranged between 21 and 28 years. 59% of these participants were female; 27% had less than a year of work experience; the academic grade of the majority of participants was Master's or Ph.D. 42% enjoyed a desirable knowledge of big data analysis. The largest number of hours of scientific and non-scientific studies belonged to basic science students and more specifically that of pharmacology.Conclusion: Despite the significance and benefits of big data analysis, students' unfamiliarity with the essentiality of these analyses in industries and research is considerable. It seems that the field or grade of studies has no effect on one's knowledge of big data analysis. Probably, the design of specialized educational courses with this concern can help to promote individuals' knowledge of big data analysis.

scholarly journals Applications of Big Data Analytics to Control COVID-19 Pandemic

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2282
Author(s):  
Shikah J. Alsunaidi ◽  
Abdullah M. Almuhaideb ◽  
Nehad M. Ibrahim ◽  
Fatema S. Shaikh ◽  
Kawther S. Alqudaihi ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Big Data Analysis ◽  
Vital Role ◽  
Future Research ◽  
Precautionary Measures ◽  
And Behavior ◽  
And Control

The COVID-19 epidemic has caused a large number of human losses and havoc in the economic, social, societal, and health systems around the world. Controlling such epidemic requires understanding its characteristics and behavior, which can be identified by collecting and analyzing the related big data. Big data analytics tools play a vital role in building knowledge required in making decisions and precautionary measures. However, due to the vast amount of data available on COVID-19 from various sources, there is a need to review the roles of big data analysis in controlling the spread of COVID-19, presenting the main challenges and directions of COVID-19 data analysis, as well as providing a framework on the related existing applications and studies to facilitate future research on COVID-19 analysis. Therefore, in this paper, we conduct a literature review to highlight the contributions of several studies in the domain of COVID-19-based big data analysis. The study presents as a taxonomy several applications used to manage and control the pandemic. Moreover, this study discusses several challenges encountered when analyzing COVID-19 data. The findings of this paper suggest valuable future directions to be considered for further research and applications.

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