Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Departments of Biostatistics and Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Nat Microbiol. 2023 Nov;8(11):1960-1970. doi: 10.1038/s41564-023-01484-x. Epub 2023 Oct 2.
Microbiome data, metadata and analytical workflows have become 'big' in terms of volume and complexity. Although the infrastructure and technologies to share data have been established, the interdisciplinary and multi-omic nature of the field can make resources difficult to identify and use. Following best practices for data deposition requires substantial effort, with sometimes little obvious reward. Gaps remain where microbiome-specific resources for data sharing or reproducibility do not yet exist. We outline available best practices, challenges to their adoption and opportunities in data sharing in microbiome research. We showcase examples of best practices and advocate for their enforcement and incentivization for data sharing. This includes recognition of data curation and sharing endeavours by individuals, institutions, journals and funders. Opportunities for progress include enabling microbiome-specific databases to incorporate future methods for data analysis, integration and reuse.
微生物组数据、元数据和分析工作流程在数量和复杂性方面已经变得“庞大”。尽管已经建立了用于共享数据的基础设施和技术,但该领域的跨学科和多组学性质使得资源难以识别和使用。遵循数据存储的最佳实践需要大量的工作,有时几乎没有明显的回报。在微生物组特定的数据共享或可重复性资源尚不存在的地方仍然存在差距。我们概述了可用的最佳实践、采用这些实践的挑战以及微生物组研究中数据共享的机会。我们展示了最佳实践的示例,并主张对其进行实施和激励,以促进数据共享。这包括承认个人、机构、期刊和资助者的数据管理和共享工作。取得进展的机会包括使微生物组特定的数据库能够纳入未来用于数据分析、集成和重用的数据方法。