分享微生物组数据和分析的挑战和机遇
Curtis Huttenhower1,2,3, Robert D Finn4, Alice Carolyn McHardy5,6
1Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA. chuttenh@hsph.harvard.edu.
Nature microbiology
|October 2, 2023
概括
微生物组研究产生了大量复杂的数据. 改善数据共享需要解决挑战,并鼓励最佳实践,以提高资源的可访问性和可重复性.
科学领域:
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
- 数据科学数据科学数据科学
背景情况:
- 微生物组研究产生了庞大而复杂的数据,包括数据,元数据和分析工作流.
- 现有的基础设施支持数据共享,但微生物组研究的跨学科和多原子性质使资源识别和利用复杂化.
- 坚持数据存储最佳实践需要大量的努力,但即时回报有限,在微生物组特定的数据共享和可重复性资源方面仍然存在差距.
研究的目的:
- 概述目前微生物组数据共享的最佳实践.
- 确定阻碍采用这些最佳实践的挑战.
- 突出在微生物组研究中推进数据共享和可复制性的机会.
主要方法:
- 审查和综合关于微生物组数据共享实践的现有文献.
- 分析与数据存储和资源利用相关的挑战.
- 确定促进数据共享的潜在解决方案和激励措施.
主要成果:
- 有几种微生物组数据共享的最佳实践,但它们的采用受到复杂性和缺乏明确的激励因素的阻碍.
- 在专门的微生物组资源中仍然存在差距,以共享数据并确保研究可重复性.
- 强制执行和激励数据共享,包括对策划工作的认可至关重要.
结论:
- 推进微生物组数据共享需要解决当前的挑战,并实施支持性政策.
- 承认和激励研究人员,机构,期刊和资助者的数据策划和共享活动是必不可少的.
- 未来的微生物组特定数据库应该整合先进的数据分析,集成和重复使用方法,以最大限度地提高研究影响.
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