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Updated: May 28, 2025

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在生态数据分析中应用最佳实践的指导框架:从建立银河系生态学中吸取的经验教训
Coline Royaux1,2, Jean-Baptiste Mihoub3, Marie Jossé4
1UMR8067 Biologie des Organismes et Ecosystèmes Aquatiques (BOREA, MNHN-CNRS-SU-IRD-UCN-UA), Sorbonne Université, Station Marine de Concarneau, 29900 Concarneau, France.
GigaScience
|February 12, 2025
概括
这项研究介绍了原子化,这是一个框架,以提高生态研究的透明度和可重复性. 通过将分析步骤分解为可重复使用的"原子",它改善了数据分析工作流程,并促进了科学信心.
科学领域:
- 生态生态学 生态生态学
- 计算生物学 计算生物学
- 数据科学数据科学数据科学
背景情况:
- 现有的框架,如开放科学和公平原则,需要在生态研究中实际应用.
- 提高生态数据分析的透明度,可重复性和信心仍然是一个挑战.
- 在运行生态分析程序的最佳实践方面存在差距.
研究的目的:
- 提出生态研究数据分析最佳实践的实用和运营框架.
- 引入"原子化"的概念,以便将分析步骤泛化.
- 提高生态学分析工作流程的可访问性和可重复使用性.
主要方法:
- 基于分析步骤的"原子化"概念的框架的开发.
- 个别分析步骤 ("原子") 的概括,以便更广泛地应用.
- 通过银河系生态网络平台进行实施和演示.
主要成果:
- 拟议的框架有助于从个别研究项目中创建生产级的分析管道.
- 原子化使得分析步骤可以被通用化,并在多个分析中重复使用.
- 银河生态平台展示了原子化和通用化工作流程的实际应用.
结论:
- 原子化提供了一种实际的方法,可以在生态科学中实现更高水平的可重复性.
- 一般化分析工作流程的可访问性和可重复使用性提高了科学信心.
- 该框架支持从单一分析向强大的生产级分析管道的过渡.
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