Universities Students' Knowledge About Big Data Analysis

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 Meth...

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Main Authors: Elham Nazari, Marjan Rasoulian, Samane Sistani, Maryam Edalati Khodabandeh, Hamed Tabesh
Format: Article
Language:English
Published: Hamara Afzar 2020-12-01
Series:Frontiers in Health Informatics
Online Access:http://ijmi.ir/index.php/IJMI/article/view/242
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spelling doaj-bd7d47724900493b8a5a4c326d1d173b2021-04-02T20:44:05ZengHamara AfzarFrontiers in Health Informatics2676-71042020-12-019110.30699/fhi.v9i1.242133Universities Students' Knowledge About Big Data AnalysisElham Nazari0Marjan Rasoulian1Samane Sistani2Maryam Edalati Khodabandeh3Hamed Tabesh4Department of Medical Informatics, faculty of medicine, Mashhad University of Medical Sciences, Mashhad,Department of Medical Informatics, faculty of medicine, Mashhad University of Medical Sciences, Mashhad,Department of Medical Informatics, faculty of medicine, Mashhad University of Medical Sciences, Mashhad,Department of Medical Informatics, faculty of medicine, Mashhad University of Medical Sciences, Mashhad,Department of Medical Informatics, faculty of medicine, Mashhad University of Medical Sciences, Mashhad,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.http://ijmi.ir/index.php/IJMI/article/view/242
collection DOAJ
language English
format Article
sources DOAJ
author Elham Nazari
Marjan Rasoulian
Samane Sistani
Maryam Edalati Khodabandeh
Hamed Tabesh
spellingShingle Elham Nazari
Marjan Rasoulian
Samane Sistani
Maryam Edalati Khodabandeh
Hamed Tabesh
Universities Students' Knowledge About Big Data Analysis
Frontiers in Health Informatics
author_facet Elham Nazari
Marjan Rasoulian
Samane Sistani
Maryam Edalati Khodabandeh
Hamed Tabesh
author_sort Elham Nazari
title Universities Students' Knowledge About Big Data Analysis
title_short Universities Students' Knowledge About Big Data Analysis
title_full Universities Students' Knowledge About Big Data Analysis
title_fullStr Universities Students' Knowledge About Big Data Analysis
title_full_unstemmed Universities Students' Knowledge About Big Data Analysis
title_sort universities students' knowledge about big data analysis
publisher Hamara Afzar
series Frontiers in Health Informatics
issn 2676-7104
publishDate 2020-12-01
description 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.
url http://ijmi.ir/index.php/IJMI/article/view/242
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