ESMT Berlin, Berlin 10178, Germany.
Georgia Institute of Technology, Atlanta, GA 30332, USA.
Sci Adv. 2017 Nov 8;3(11):e1700404. doi: 10.1126/sciadv.1700404. eCollection 2017 Nov.
Most scientific research is performed by teams, and for a long time, observers have inferred individual team members' contributions by interpreting author order on published articles. In response to increasing concerns about this approach, journals are adopting policies that require the disclosure of individual authors' contributions. However, it is not clear whether and how these disclosures improve upon the conventional approach. Moreover, there is little evidence on how contribution statements are written and how they are used by readers. We begin to address these questions in two studies. Guided by a conceptual model, Study 1 examines the relationship between author order and contribution statements on more than 12,000 articles to understand what information is provided by each. This analysis quantifies the risk of error when inferring contributions from author order and shows how this risk increases with team size and for certain types of authors. At the same time, the analysis suggests that some components of the value of contributions are reflected in author order but not in currently used contribution statements. Complementing the bibliometric analysis, Study 2 analyzes survey data from more than 6000 corresponding authors to examine how contribution statements are written and used. This analysis highlights important differences between fields and between senior versus junior scientists, as well as strongly diverging views about the benefits and limitations of contribution statements. On the basis of both studies, we highlight important avenues for future research and consider implications for a broad range of stakeholders.
大多数科学研究都是由团队完成的,长期以来,观察者通过解释已发表文章中的作者顺序来推断各个团队成员的贡献。为了回应人们对这种方法越来越多的关注,期刊正在采用要求披露个人作者贡献的政策。然而,目前尚不清楚这些披露是否以及如何改进传统方法。此外,关于贡献声明的撰写方式以及读者如何使用这些声明的证据也很少。我们在两项研究中开始解决这些问题。在概念模型的指导下,研究 1 考察了 12000 多篇文章的作者顺序和贡献声明之间的关系,以了解每个声明提供了哪些信息。这项分析量化了从作者顺序推断贡献时出错的风险,并表明这种风险随着团队规模的增加以及对于某些类型的作者而增加。同时,该分析表明,贡献价值的某些组成部分反映在作者顺序中,但不在当前使用的贡献声明中。对文献计量分析进行补充,研究 2 分析了来自 6000 多名相应作者的调查数据,以研究贡献声明的撰写和使用方式。这项分析突出了不同领域以及资深和初级科学家之间的重要差异,以及对贡献声明的益处和局限性的强烈分歧观点。基于这两项研究,我们强调了未来研究的重要方向,并考虑了对广泛利益相关者的影响。