The COVID-19 pandemic catalyzed the rapid dissemination of papers and preprints investigating the disease and its associated virus, SARS-CoV-2. The multifaceted nature of COVID-19 demands a multidisciplinary approach, but the urgency of the crisis combined with the need for social distancing measures present unique challenges to collaborative science. We applied a massive online open publishing approach to this problem using Manubot. Through GitHub, collaborators summarized and critiqued COVID-19 literature, creating a review manuscript. Manubot automatically compiled citation information for referenced preprints, journal publications, websites, and clinical trials. Continuous integration workflows retrieved up-to-date data from online sources nightly, regenerating some of the manuscript's figures and statistics. Manubot rendered the manuscript into PDF, HTML, LaTeX, and DOCX outputs, immediately updating the version available online upon the integration of new content. Through this effort, we organized over 50 scientists from a range of backgrounds who evaluated over 1,500 sources and developed seven literature reviews. While many efforts from the computational community have focused on mining COVID-19 literature, our project illustrates the power of open publishing to organize both technical and non-technical scientists to aggregate and disseminate information in response to an evolving crisis.
翻译:COVID-19大流行病催化了迅速散发关于该疾病及其相关病毒(SARS-COV-2)的论文和预印文件的迅速传播。COVID-19的多方面性质要求采取多学科办法,但危机的紧迫性加上采取社会分流措施的必要性,对合作科学提出了独特的挑战。我们利用Manubot, 对这一问题采用了大规模的在线公开出版方法。通过GitHub, 合作者总结和批评了COVID-19文献,制作了一本评论手稿。Manubot 自动汇编了引文资料,供参考预印、期刊出版物、网站和临床试验参考。持续的整合工作流程从网上来源收集最新数据,重新生成了一些手稿的数字和统计数据。Manubot 将手稿变成PDF、HTML、LaTeX和DOCX产出,在新内容整合后立即更新了在线版。通过这项努力,我们组织了来自各种背景的50多名科学家,他们评估了1 500多个来源,并编写了七份文献评论。虽然计算界的许多努力都集中在采矿业的COVID-19的文献,但不断收集到非技术性的科学家们。