الملخص الإنجليزي
Recently, Big Data studies have attracted considerable attention. However, Big Data analytics in
academic libraries confront two fundamental challenges: the huge volume, velocity, and variety of
data and the complexity of its techniques and algorithms. The primary aim of this study is to explore
which techniques and tools can be applied in academic libraries in order to analyze Big Data, and
then determine its profits in academic libraries. In addition, this study attempts to answer the following
research questions: how should librarians be made to involve in Big Data? What are the future
research developments in Big Data? What are the gaps in Big Data studies related to academic
libraries? To provide a considerably better understanding of the advantages of Big Data in academic
libraries and their future research directions, a comprehensive literature review of Big Data analysis of
academic libraries over the last seven years was conducted. The results yielded a total of 37 papers
related to Big Data in academic libraries. These results indicated that despite the large amount of
research conducted on this topic, only a few studies discussed the implication of Big Data in academic
libraries, including the analyzing tools and techniques. The benefits of Big Data in academic libraries
and its implications on methodology in future studies are discussed. The present study also highlights
the evolving field of Big Data research in academic libraries.
