School of Psychology and Centre for Brain Research, University of Auckland, Auckland, New Zealand.
PLoS Comput Biol. 2024 Jul 25;20(7):e1012252. doi: 10.1371/journal.pcbi.1012252. eCollection 2024 Jul.
Open science principles are revolutionizing the transparency, reproducibility, and accessibility of research. Meta-analysis has become a key technique for synthesizing data across studies in a principled way; however, its impact is contingent on adherence to open science practices. Here, we outline 9 quick tips for open meta-analyses, aimed at guiding researchers to maximize the reach and utility of their findings. We advocate for outlining preregistering clear protocols, opting for open tools and software, and the use of version control systems to ensure transparency and facilitate collaboration. We further emphasize the importance of reproducibility, for example, by sharing search syntax and analysis scripts, and discuss the benefits of planning for dynamic updating to enable living meta-analyses. We also recommend publication in open-access formats, as well as open data, open code, and open access publication. We close by encouraging active promotion of research findings to bridge the gap between complex syntheses and public discourse, and provide a detailed submission checklist to equip researchers, reviewers and journal editors with a structured approach to conducting and reporting open meta-analyses.
开放科学原则正在彻底改变研究的透明度、可重复性和可获取性。元分析已成为一种通过有原则的方式综合研究数据的关键技术；然而，其影响取决于对开放科学实践的遵守。在这里，我们概述了 9 个用于开放元分析的快速技巧，旨在指导研究人员最大限度地扩大其研究结果的影响力和实用性。我们主张概述预先注册的明确方案，选择开放的工具和软件，并使用版本控制系统来确保透明度和促进协作。我们进一步强调了可重复性的重要性，例如，通过共享搜索语法和分析脚本，并讨论了为动态更新计划的好处，以实现实时元分析。我们还建议以开放获取的格式发表论文，以及开放数据、开放代码和开放获取出版。最后，我们鼓励积极推广研究结果，以缩小复杂综合与公众讨论之间的差距，并提供详细的提交清单，为研究人员、评论员和期刊编辑提供一种进行和报告开放元分析的结构化方法。
