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Advances in global change research require open science by individual researchers

机译:全球变化研究的进步要求个别研究人员采取开放科学

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Understanding how species and ecosystems respond to climate change requires spatially and temporally rich data for a diverse set of species and habitats, combined with models that test and predict responses. Yet current study is hampered by the long-known problems of inadequate management of data and insufficient description of analytical procedures, especially in the field of ecology. Despite recent institutional incentives to share data and new data archiving infrastructure, many ecologists do not archive and publish their data and code. Given current rapid rates of global change, the consequences of this are extreme: because an ecological dataset collected at a certain place and time represents an irreproducible set of observations, ecologists doing local, independent research possess, in their file cabinets and spreadsheets, a wealth of information about the natural world and how it is changing. Although large-scale initiatives will increasingly enable and reward open science, we believe that change demands action and personal commitment by individuals from students and PIs. Herein, we outline the major benefits of sharing data and analytical procedures in the context of global change ecology, and provide guidelines for overcoming common obstacles and concerns. If individual scientists and laboratories can embrace a culture of archiving and sharing we can accelerate the pace of the scientific method and redefine how local science can most robustly scale up to globally relevant questions.
机译:要了解物种和生态系统如何对气候变化做出反应,就需要针对一组不同物种和生境的时空丰富的数据,并结合测试和预测响应的模型。然而,长期以来一直存在的数据管理不善和分析程序描述不足的问题阻碍了当前的研究,特别是在生态学领域。尽管最近有机构鼓励共享数据和新的数据归档基础结构,但许多生态学家并未归档和发布其数据和代码。鉴于当前全球变化的快速速度,其后果是极端的:因为在某个特定时间和地点收集的生态数据集代表了一组不可重复的观察结果,因此进行本地,独立研究的生态学家在其文件柜和电子表格中拥有大量财富。有关自然世界及其变化方式的信息。尽管大规模的计划将越来越多地启用和奖励开放式科学,但我们认为,变革需要学生和PI的个人采取行动并作出个人承诺。在此,我们概述了在全球变化生态学背景下共享数据和分析程序的主要好处,并提供了克服常见障碍和担忧的指南。如果单个的科学家和实验室可以接受存档和共享的文化,那么我们可以加快科学方法的步伐,重新定义本地科学如何最有效地扩展到全球相关问题。

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