Lin Zhicheng
Department of Psychology, University of Science and Technology of China, Hefei, Anhui, China.
Account Res. 2024 Oct 6:1-24. doi: 10.1080/08989621.2024.2405041.
The rapid acceleration of authorship inflation-increasing numbers of authors per publication in collaborative research-has rendered the traditional "substantial contributions" criterion for authorship and the lack of transparency in author contributions increasingly problematic. To address these challenges, a revamped approach to authorship is proposed, replacing the rigid requirement of "substantial contributions" with a more flexible, project-specific criterion of "sufficient contributions," as determined and justified by the authors for each project. This change more accurately reflects and accommodates the proliferation of scientific collaboration ("team science" or "group science"). It broadens the scope and granularity of roles deserving of authorship by integrating the Contributor Roles Taxonomy (CRediT) and Method Reporting with Initials for Transparency (MeRIT) systems. It mandates in-text documentation of who did what (e.g., who collected what data) and moves beyond the typical binary (all-or-none) classification by assigning a gradated contribution level to each author for each role. Contributions can be denoted using an ordinal scale-either coarse (e.g., lead, equal, and supporting) or fine-grained (e.g., minimal, slight, moderate, substantial, extensive, and full). To support the implementation of the revamped approach, an authorship policy template is provided. Adopting proportional, role-specific credit allocation and explicit documentation of contributions fosters a more transparent, equitable, and trustworthy scientific environment.
作者身份膨胀现象迅速加剧——合作研究中每篇论文的作者数量不断增加——使得传统的作者身份“实质性贡献”标准以及作者贡献缺乏透明度的问题日益突出。为应对这些挑战,本文提出了一种改进的作者身份认定方法,用一种更灵活、针对具体项目的“充分贡献”标准取代“实质性贡献”的严格要求,该标准由作者针对每个项目确定并说明理由。这一变化更准确地反映并适应了科学合作(“团队科学”或“群体科学”)的激增。通过整合贡献者角色分类法(CRediT)和透明化首字母缩写的方法报告(MeRIT)系统,它拓宽了值得拥有作者身份的角色范围和粒度。它要求在文中记录谁做了什么(例如,谁收集了哪些数据),并通过为每个作者在每个角色上分配一个分级贡献水平,超越了典型的二元(全有或全无)分类。贡献可以用顺序量表表示——要么粗略(例如,主导、同等、支持),要么精细(例如,最小、轻微、中等、实质性、广泛、完全)。为支持改进方法的实施,本文提供了一个作者身份政策模板。采用按比例、针对特定角色的功劳分配以及对贡献的明确记录,有助于营造一个更透明、公平和值得信赖的科学环境。