The interdisciplinarity of research data: How widely is shared research data reused in the STEM fields? |
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| Institution: | 1. Middle Tennessee State University, Walker Library, MTSU Box 13, 1301 East Main St., Murfreesboro, TN 37128, United States of America;3. Seminole State College of Florida, 100 Weldon Blvd., Sanford, FL 32773, United States of America;4. Northeastern University, Snell Library, 300 Huntington Ave., Boston, MA 02115, United States of America;1. Rutgers University, 4 Huntington Street, New Brunswick, NJ 08901, United States of America;2. Rider University, Moore Library, 2083 Lawrenceville Road, Lawrenceville, NJ 08648, United States of America;3. William Paterson University, 1600 Valley Road, Room #4082, Wayne, NJ 07470, United States of America;4. Rutgers University, 1320 Eagle Point Road, Kutztown, PA 19530, United States of America;5. William Paterson University, David & Lorraine Cheng Library, 107D, 300 Pompton Road. Wayne, New Jersey 07470, United States of America;6. Rutgers University, James Dickson Carr Library, 75 Avenue E, Piscataway, NJ 08854-8040, United States of America;7. The College of New Jersey, University of New England, 716 Stevens Avenue, Portland, ME 04103, United States of America;8. Raritan Valley Community College, Evelyn S. Field Library, 118 Lamington Rd., Somerville, NJ 08876, United States of America;9. Bergen Community College, Sidney Silverman Library, Bergen Community College, 400 Paramus Rd, Paramus, NJ 07652, United States of America;10. Lawrence High School, 2525 Princeton Pike, Lawrenceville, NJ 08648, United States of America;1. Charles E. Young Research Library, University of California Los Angeles, Box 915175, Los Angeles, CA 90095-1575, USA;2. Knight Library, University of Oregon, 1501 Kincaid St., Eugene, OR 97403-1299, USA;1. University of Southern Denmark, Department of Design and Communication, Universitetsparken 1, 6000 Kolding, Denmark;2. KNUST Library, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana |
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| Abstract: | 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. |
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