Besançon Lonni, Rönnberg Niklas, Löwgren Jonas, Tennant Jonathan P, Cooper Matthew
Linköping University, Norrköping, Sweden.
Université Paris Sud, Orsay, France.
Res Integr Peer Rev. 2020 Jun 26;5:8. doi: 10.1186/s41073-020-00094-z. eCollection 2020.
Our aim is to highlight the benefits and limitations of open and non-anonymized peer review. Our argument is based on the literature and on responses to a survey on the reviewing process of alt.chi, a more or less open review track within the so-called Computer Human Interaction (CHI) conference, the predominant conference in the field of human-computer interaction. This track currently is the only implementation of an open peer review process in the field of human-computer interaction while, with the recent increase in interest in open scientific practices, open review is now being considered and used in other fields.
We ran an online survey with 30 responses from alt.chi authors and reviewers, collecting quantitative data using multiple-choice questions and Likert scales. Qualitative data were collected using open questions.
Our main quantitative result is that respondents are more positive to open and non-anonymous reviewing for alt.chi than for other parts of the CHI conference. The qualitative data specifically highlight the benefits of open and transparent academic discussions. The data and scripts are available on https://osf.io/vuw7h/, and the figures and follow-up work on http://tiny.cc/OpenReviews.
While the benefits are quite clear and the system is generally well-liked by alt.chi participants, they remain reluctant to see it used in other venues. This concurs with a number of recent studies that suggest a divergence between support for a more open review process and its practical implementation.
我们的目的是突出公开且非匿名同行评审的优点和局限性。我们的观点基于文献以及对一项关于alt.chi评审过程的调查的回应,alt.chi是在所谓的计算机人机交互(CHI)会议中一个或多或少公开的评审环节,CHI会议是人机交互领域的主要会议。目前,这个环节是人机交互领域中公开同行评审过程的唯一实例,而随着近期对开放科学实践兴趣的增加,开放评审现在正被其他领域考虑和使用。
我们对alt.chi的作者和评审人员进行了一项在线调查,收到30份回复,通过多项选择题和李克特量表收集定量数据。定性数据通过开放式问题收集。
我们主要的定量结果是,与CHI会议的其他部分相比,受访者对alt.chi的公开且非匿名评审更为积极。定性数据特别突出了公开透明学术讨论的好处。数据和脚本可在https://osf.io/vuw7h/获取,图表及后续工作可在http://tiny.cc/OpenReviews查看。
虽然好处相当明显,并且该系统总体上受到alt.chi参与者的喜爱,但他们仍然不愿意看到它在其他场合使用。这与最近的一些研究一致,这些研究表明在对更开放评审过程的支持与其实际实施之间存在差异。