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An analysis of academic librarians competencies and skills for implementation of Big Data analytics in libraries A correlational study

机译:学术图书馆员的分析能力为实现大数据和技能分析图书馆相关性研究

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Purpose The purpose of this paper is to analyze the views and capabilities of librarians for the implementation of Big Data analytics in academic libraries of Pakistan. The study also sets out to check the relationship between the required skills of librarians and the application of Big Data analytics. Design/methodology/approach A survey was conducted to gather the required data from the targeted audience. The targeted population of the study was Head/In charge library managers of Pakistani university libraries, which were 173 in total. All the respondents (academic librarians) were invited through an e-mail to respond to the survey voluntarily. Out of 173 respondents from higher education commission of Pakistan chartered university libraries, 118 librarians (68.2 percent) completed the survey that was finally considered, and after checking data, recommendation for analysis was made. To analyze the collected data, statistical technique Pearson correlation was applied using statistical package for social science version 25 to know the strength of the mutual correlation of variables. Findings The findings of the study show a strong correlation between the required competencies and skills of librarians for the implementation of Big Data analytics in academic libraries. In all variables of the study, the correlation was highly significant, except two of the variables, including "concept of Big Data" and "different forms of data." The study also reveals that most of the respondents were well aware of the concept of Big Data analytics. Moreover, they were using a large amount of data to carry out various library operations, including the acquisition, preservation, curation and analysis of data. Originality/value This study is significant in the sense that it fills a substantial gap in the literature regarding the perspective of librarians on Big Data analytics.
机译:本文的目的是分析目的图书馆员的视图和功能大数据分析在学术的实现巴基斯坦的库。检查所需的之间的关系技能的图书馆员和大的应用数据分析。调查收集所需的数据从目标观众。这项研究是人口头/负责巴基斯坦大学的图书馆管理人员库,总共173。受访者(学术图书馆员)被邀请通过电子邮件调查作出回应自愿。巴基斯坦特许的教育委员会大学图书馆,118年图书馆员(68.2%),终于完成了调查认为,在检查数据,建议进行分析。收集到的数据,统计技术培生用统计软件包相关应用社会科学版25知道力量的相互关联的变量。研究的结果发现显示出强劲所需的能力之间的相关性图书馆员的能力实现的大数据分析在学术图书馆。相关变量的研究,非常重要,除了两个变量,包括“大数据”的概念和“不同形式的数据。”受访者清楚的概念大数据分析。大量数据进行不同库操作,包括收购,保存、管理和分析数据。创意/值这个研究具有重要意义因为它充满很大差距的文学的角度图书馆员在大数据分析。

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