Bibliographic coupling networks of global research on data literacy by documents, sources and authors

Abstract

This study was carried out to visualise the interconnectedness among research works in the field of Data Literacy documents, Sources and Authors, Identify clusters, nodes and key connections to understand the structural patterns within Data Literacy scholarly literature and determine the most influential and highly-cited papers, authors and journals within the bibliographic coupling networks. We specified the syntax ‘DATA LITERACY’. While it is obvious that there may be studies that have addressed this subject using other syntax, ‘Data Literacy’ will yield an appropriately representative sample of keywords in the area. The findings offer valuable insights into the landscape of research on data literacy, particularly in terms of the interconnections and influences among various scholarly works. Several discussions can be carried out based on these findings. The analysis identifies key documents that have significantly contributed to the development of research on data literacy. The analysis of publication years of identified documents offers insights into the temporal evolution of research on data literacy. This helps reveal shifts in research emphasis over time and highlights emerging areas of interest within the field.