Intersections between Information Science and Big Data

Abstract: The aim of this work is to identify the interrelationships between Big Data and Information Science based on a literature review of scientific communications indexed in the Scopus and Web of Science databases. Methodologically, the generic search expression was (“big data” AND “information science”), and 233 records were retrieved. After careful filtering, the object of study was defined by a selection of 51 articles. This set was quantitatively characterized through bibliometric analysis to identify the most relevant elements for thematic classification, with ten main topics being identified. As qualitative results, methodological contributions of Information Science were verified in research involving Big Data across various fields, including Information Science methods and tools, medicine and public health, Information Science research, professional training, urban planning, and public policies. Additionally, ethical discussions, theoretical research, and practical applications were explored. It was concluded that Information Science has many interrelationships with Big Data and contributes significantly to the research and utilization of this type of analysis, while also strengthening the interdisciplinarity between Information Science and Data Science.