The interdisciplinarity of research data: How widely is shared research data reused in the STEM fields?

The aim of this study was to examine the interdisciplinarity of research data in the science, technology, engineering, and mathematics (STEM) fields. The findings revealed that interdisciplinarity was not distributed evenly across journals serving the STEM fields. Based on the diversity of the references as measured by the Gini coefficient index, the mathematical sciences showed the greatest inequality, followed by astronomy/physics, the earth sciences, the biological sciences, and technology. Based on the number of Essential Science Indicator (ESI) fields, the biological sciences showed the greatest variety, followed by the earth sciences, technology, the mathematical sciences, chemistry, and computing, while engineering showed no variety. Lastly, based on the Leydesdorff interdisciplinarity formula outcomes, the earth sciences showed the greatest diversity, but earth sciences articles were cited in articles in fewer fields than biological sciences articles. This study contributes to the study of interdisciplinary data citation for data sharing and reuse in STEM fields with respect to the measurement of the balance, variety, and diversity of research data.