为了提高分类法的透明度和可信度,减少主观性,研究人员提出了分类法的预登记

Megataxa Pub Date : 2023-04-27 DOI:10.11646/megataxa.10.1.2
Zhi-qiang Zhang
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引用次数: 0

摘要

今天发表在Megataxa上的一篇新观点文章(Conix et al. 2023)呼吁在分类学领域进行预注册,并讨论了其潜在的好处和反对意见。预注册是研究人员在开始研究和收集数据之前在公共存储库中记录其假设、设计和拟议研究方法的一种做法(Nosek et al. 2018)。预注册可以帮助减少偏倚,增加透明度,改善研究设计(特别是可重复性)(例如Nosek et al. 2018;Krypotos et al. 2022),包括探索性研究,如生物多样性发现和分类的某些方面(Dirnagl et al. 2020)。虽然预登记已经在社会科学(如Camerer等人,2016年,2018年)和生态/进化(如Kelly 2019年)等其他领域得到应用,但尚未在分类学中采用。Conix等人(2023)认为,考虑到分类学面临的挑战,如主观性、分歧和可信度,预注册可能对分类学有益:
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Researchers propose preregistration in taxonomy to enhance transparency and credibility and reduce subjectivity
A new opinion piece published in Megataxa today (Conix et al. 2023) calls for preregistration in the field of taxonomy and discusses its potential benefits and objections. Preregistration is a practice for researchers to document their hypotheses, design and methods of their proposed studies in a public repository before they start the study and collect the data (Nosek et al. 2018). It is believed that preregistration can help reduce bias, increase transparency, and improve study design (especially replicability) of research (e.g. Nosek et al. 2018; Krypotos et al. 2022), including exploratory research such as some aspects of biodiversity discovery and taxonomy (Dirnagl et al. 2020). While preregistration has been already employed in other fields such as social sciences (e.g. Camerer et al. 2016, 2018) and ecology/evolution (e.g. Kelly 2019), it has yet been adopted in taxonomy. Conix et al. (2023) argue that preregistration could be beneficial for taxonomy, given the challenges it faces, such as subjectivity, disagreement, and credibility:  
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