Collaborative research: Automated and community-driven synthesis of the tree of life

合作研究：自动化和社区驱动的生命之树合成

• 批准号: 1207915
• 负责人: Stephen Smith
• 金额: $ 90万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-01 至 2019-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1207915&HistoricalAwards=false
• 关键词: Collaborative; research; Automated; community; driven

The tree of life links all biodiversity through a shared evolutionary history. This project will produce the first online, comprehensive first-draft tree of all 1.8 million named species, accessible to both the public and scientific communities. Assembly of the tree will incorporate previously published results, with strong collaborations between computational and empirical biologists to develop, test and improve methods of data synthesis. This initial tree of life will not be static; instead, we will develop tools for scientists to update and revise the tree as new data come in. Early release of the tree and tools will motivate data sharing and facilitate ongoing synthesis of knowledge.Biological research of all kinds, including studies of ecological health, environmental change, and human disease, increasingly depends on knowing how species are related to each other. Yet there is no single resource that unites knowledge of the tree of life. Instead, only small parts of the tree are individually available, generally as printed figures in journal articles. This project will provide the global community of scientists who study the tree of life with a means to share and combine their results, and will enable large-scale studies of Earth's biodiversity. It will also create a resource where students, educators and citizens can go to explore and learn about life's evolutionary history.

生命之树通过共同的进化历史将所有生物多样性联系在一起。该项目将生成第一个在线、全面的初稿树木，涵盖所有 180 万个已命名物种，可供公众和科学界使用。该树的组装将纳入之前发表的结果，计算生物学家和经验生物学家之间将密切合作，开发、测试和改进数据合成方法。这棵最初的生命之树不会是静态的；相反，我们将为科学家开发工具，以便在新数据出现时更新和修改树。树和工具的早期发布将促进数据共享并促进知识的持续合成。各种生物学研究，包括生态健康、环境变化和人类疾病的研究，越来越依赖于了解物种之间的关系。然而，没有单一的资源可以统一生命之树的知识。 相反，树中只有一小部分是单独可用的，通常作为期刊文章中的印刷图。该项目将为研究生命之树的全球科学家提供一种分享和整合其成果的方法，并使对地球生物多样性的大规模研究成为可能。它还将创建一个资源，让学生、教育工作者和公民可以探索和了解生命的进化历史。