ISSN : 1225-598X
This study examines the types of research data and data repositories in STEM(Science, Technology, Engineering, and Mathematics) fields that demonstrate high levels of data sharing and citation. STEM fields were identified by aligning discipline codes from the National Science Foundation(NSF) with research areas listed in the Data Citation Index. The selected disciplines include astrophysics, biological sciences, chemistry, computing, earth sciences, engineering, mathematics, and technology, encompassing a total of eight fields. This study involved the collection and analysis of over 6.3 million STEM research data records. The findings indicate that various types of research data across STEM fields are cited; however, key data repositories differ by discipline. Notably, high levels of data sharing do not necessarily correspond with high data citation rates. The types of cited research data also vary across disciplines, with all cited data being quantitative—no qualitative data received citations. Despite the growing emphasis on open science, formal data citation remains uncommon in STEM fields. This study contributes to the literature by providing a comprehensive analysis of data-sharing and citation practices across more than 6.3 million STEM research data records worldwide.