Canadian Centre for Evidence-Based Conservation, Department of Biology and Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, ON, Canada, K1S 5B6.
Institut de Biologie, Université de Neuchâtel, 2000 Neuchâtel, Switzerland.
J Exp Biol. 2022 Mar 8;225(Suppl_1). doi: 10.1242/jeb.243559.
In a recent editorial, the Editors-in-Chief of Journal of Experimental Biology argued that consensus building, data sharing, and better integration across disciplines are needed to address the urgent scientific challenges posed by climate change. We agree and expand on the importance of cross-disciplinary integration and transparency to improve consensus building and advance climate change research in experimental biology. We investigated reproducible research practices in experimental biology through a review of open data and analysis code associated with empirical studies on three debated paradigms and for unrelated studies published in leading journals in comparative physiology and behavioural ecology over the last 10 years. Nineteen per cent of studies on the three paradigms had open data, and 3.2% had open code. Similarly, 12.1% of studies in the journals we examined had open data, and 3.1% had open code. Previous research indicates that only 50% of shared datasets are complete and re-usable, suggesting that fewer than 10% of studies in experimental biology have usable open data. Encouragingly, our results indicate that reproducible research practices are increasing over time, with data sharing rates in some journals reaching 75% in recent years. Rigorous empirical research in experimental biology is key to understanding the mechanisms by which climate change affects organisms, and ultimately promotes evidence-based conservation policy and practice. We argue that a greater adoption of open science practices, with a particular focus on FAIR (Findable, Accessible, Interoperable, Re-usable) data and code, represents a much-needed paradigm shift towards improved transparency, cross-disciplinary integration, and consensus building to maximize the contributions of experimental biologists in addressing the impacts of environmental change on living organisms.
在最近的一篇社论中,《实验生物学杂志》的主编们认为,需要在共识构建、数据共享和跨学科更好地整合方面取得进展,以应对气候变化带来的紧迫科学挑战。我们同意并强调跨学科整合和透明度的重要性,以改善共识建设并推进实验生物学中的气候变化研究。我们通过审查与三个有争议的范式的实证研究以及过去 10 年在比较生理学和行为生态学的主要期刊上发表的不相关研究相关的开放数据和分析代码,研究了实验生物学中的可重复研究实践。这三个范式中有 19%的研究具有开放数据,而 3.2%的研究具有开放代码。同样,我们检查的期刊中有 12.1%的研究具有开放数据,而 3.1%的研究具有开放代码。先前的研究表明,只有 50%的共享数据集是完整且可重复使用的,这表明实验生物学中只有不到 10%的研究具有可用的开放数据。令人鼓舞的是,我们的结果表明,可重复研究实践正在随着时间的推移而增加,一些期刊的数据共享率近年来达到了 75%。在实验生物学中进行严格的实证研究是理解气候变化如何影响生物体的关键,并且最终促进基于证据的保护政策和实践。我们认为,更广泛地采用开放科学实践,特别是关注 FAIR(可发现、可访问、可互操作、可重复使用)数据和代码,代表着朝着提高透明度、跨学科整合和共识建设的方向迈出了急需的范式转变,以最大限度地发挥实验生物学家在应对环境变化对生物的影响方面的贡献。