A bibliographic assessment of scientific output on Big Data and Libraries: a systematic survey of the literature

Authors

  • Kamlesh Chandra Purohit, Deepak Kumar Chauhan

Keywords:

Big Data, Library, Bibliometric Analysis, VOSviewer, Systematic Literature Review, Scopus, Scientific Production

Abstract

Purpose: The study's main purpose is to analyse the scholarly publications published in scientific databases on big data and libraries.

Methods and materials: The researchers investigated the scientific productions produced from 2017 to 2021 and indexed them in the Scopus database. VOSviewer and Biblioshiny software inspected the databases for those documents related to the big data and library. The keywords are used “Librar*” AND “Big Data” in searching. The database’s total results are 2046. There are still 1294 papers to be found after narrowing the search to the years 2017-2021. Some important things to look for in this review were articles that were written in English and about "Library and Big data." The review includes both review papers and articles.Afterwards, a thorough screening was carried out for each identified categorization in order to identify relevant records, and only 488 research were chosen for inclusion in the review's synthesis.

Result: The study found the largest scholarly publication resulting from the country ‘China’ (n=484), ‘USA’ (n=332) and India (n=86) from the total results. Most of the documents are journal articles (n=488). The study revealed that IEEE Access provided the majority of the publications (n=18) and Library Hi-Tech and Library Philosophy and Practice ranked second (n=11) and third (n=11), respectively. The research found the most productive organisations were the University of California ranked first (n=33), South African Radio Astronomy Observatory ranked second (n=16), and Arizona State University ranked third (n= 14). The study found Martin H (n=3) as the most productive author in the field. The co-occurrence analysis confirmed that the study formed 7 clusters where ‘big data’, ‘machine learning’, ‘human’, ‘libraries’ and data mining are the most trendy keywords in the research field.

Conclusion: Big data and libraries are a hot topic in information science and library management. Assessment on this topic helps the professionals improve the topic's imagination. This scientometric analysis illustrated the overall research flow and scenario along with research growth, productive authors, prolific sources and affiliations in the field that will show the path of the research scholars

Published

2022-07-05

How to Cite

Kamlesh Chandra Purohit, Deepak Kumar Chauhan. (2022). A bibliographic assessment of scientific output on Big Data and Libraries: a systematic survey of the literature. SJIS-P, 34(2), 27–36. Retrieved from http://sjis.scandinavian-iris.org/index.php/sjis/article/view/476

Issue

Section

Articles