Author Credit for Transdisciplinary Collaboration |
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Authors: | Jian Xu Ying Ding Vincent Malic |
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Affiliation: | 1. School of Information Management, Sun Yat-sen University, Guangzhou, China.; 2. Department of Information and Library Science, Indiana University, Bloomington, Indiana, United States of America.; 3. University Library, Tongji University, Shanghai, China.; Katholieke Universiteit Leuven, BELGIUM, |
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Abstract: | Transdisciplinary collaboration is the key for innovation. An evaluation mechanism is necessary to ensure that academic credit for this costly process can be allocated fairly among coauthors. This paper proposes a set of quantitative measures (e.g., t_credit and t_index) to reflect authors’ transdisciplinary contributions to publications. These measures are based on paper-topic probability distributions and author-topic probability distributions. We conduct an empirical analysis of the information retrieval domain which demonstrates that these measures effectively improve the results of harmonic_credit and h_index measures by taking into account the transdisciplinary contributions of authors. The definitions of t_credit and t_index provide a fair and effective way for research organizations to assign credit to authors of transdisciplinary publications. |
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