Leveraging data science for effective research management in the field of scientometrics

Abstract

In today's rapidly evolving world, research and development have become increasingly complex, necessitating innovative management approaches. The exponential growth in research outputs—ranging from scholarly articles to conference proceedings—has made managing this wealth of information overwhelming. Data science has emerged as a powerful tool for managing research activities, particularly in the field of scientometrics. Mingers & Leydesdorff review the theoretical frameworks and practical applications of scientometrics, emphasizing how data science techniques can be utilized to analyze and manage scientific research.