微生物组数据管理在行动研讨会中:美国亚特兰大,GA,2024年6月12-13日
Julia M Kelliher1, Mashael Aljumaah2,3, Sarah R Bordenstein4,5
1New Mexico Consortium, Los Alamos, NM, USA. jkelliher@lanl.gov.
Environmental microbiome
|April 19, 2025
概括
微生物组数据标准对于研究至关重要,但对环境和非人类研究缺乏发展. 一个研讨会提出了一份路线图,以调整现有指南,加强数据管理和重复使用以实现未来的科学创新.
科学领域:
- 微生物组研究的研究.
- 数据科学是数据科学.
- 生物信息学是一种生物信息学.
背景情况:
- 微生物组数据的价值受到缺乏标准化数据管理实践的限制.
- 像STORMS (加强微生物组研究的组织和报告) 等现有标准主要关注人类微生物组.
- 对于环境,合成和非人类宿主相关微生物组的数据标准存在重大差距.
研究的目的:
- 解决环境,合成和非人类宿主相关微生物组研究中标准化数据管理的需求.
- 将微生物组科学中的关键利益相关者聚集在一起,讨论挑战并提出解决方案.
- 为协调数据管理制定可行的建议,并调整现有的指南.
主要方法:
- 召开了微生物组数据管理在行动研讨会,与来自研究,出版,资金和数据存储的50名主要决策者.
- 促进了关于微生物组数据管理的最新进展,挑战和未来方向的讨论.
- 为适应STORMS指南的更广泛的微生物组研究应用进行头脑风暴建议.
主要成果:
- 确定了非人类和环境微生物组研究数据标准中的关键缺口.
- 为改善微生物组数据管理和促进采用共识标准提出了可行的建议.
- 概述了一份路线图,用于在整个领域实施微生物组数据管理的最佳实践.
结论:
- 标准化数据管理对于释放微生物组研究的全部潜力至关重要.
- 适应和扩展像STORMS这样的现有指导方针是各种微生物组研究的可行途径.
- 拟议的路线图和最佳实践将促进数据的再利用,再分析和先进的计算努力,如机器学习.
关键词:
检查清单 检查清单 检查清单数据管理数据管理数据的重复使用.数据管理管理数据管理环境微生物群 环境微生物群准则 准则 准则 准则微生物组是一个微生物组.标准 标准 标准 标准研讨会 工作坊 研讨会更多相关视频
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