Authorship Versus Contributorship in Scientific Articles: Considering COPE Principles and the CRediT Taxonomy

Overview & Synopsis

The allocation of authorship in scientific publications has long been a critical issue, as it directly affects the recognition and accountability of researchers. However, traditional models of authorship, guided by frameworks like the International Committee of Medical Journal Editors (ICMJE), are increasingly being challenged due to the growing complexity of collaborative and interdisciplinary research. Issues such as gift authorship, ghostwriting, and authorship inflation have exposed the limitations of the authorship model, leading to calls for more transparent and equitable systems.In response, the contributorship model, exemplified by the CRediT (Contributor Roles Taxonomy) framework, offers an alternative approach that emphasizes the specific roles and responsibilities of contributors rather than assigning blanket authorship. The CRediT taxonomy defines fourteen distinct roles, from conceptualization to writing and data curation, allowing for more precise attribution of credit and accountability. This opinion paper compares the traditional authorship model with the contributorship approach, considering their ethical implications through the lens of the Committee on Publication Ethics (COPE) guidelines, which emphasize transparency and fairness in authorship practices.Through a detailed analysis, the paper highlights the advantages of the contributorship model, such as enhanced transparency, reduced conflicts over authorship order, and a clearer distribution of responsibility. However, it also acknowledges the challenges of implementing contributorship, including potential fragmentation of credit and difficulty in applying the taxonomy consistently across diverse fields. Ultimately, the opinion paper argues that contributorship, particularly when aligned with COPE principles, offers a promising path forward for improving equity and accountability in scientific publishing, especially in large-scale collaborative projects.