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跨越溪流:通过数据标准和实施策略提高“同一健康”基因组学连续体中的数据质量与整合

Crossing the streams: improving data quality and integration across the One Health genomics continuum with data standards and implementation strategies.

作者信息

Griffiths Emma J, Jurga Emil, Wajnberg Gabriel, Shay Julie A, Cameron Rhiannon, Barclay Charlie, Sehar Anoosha, Dooley Damion, John Nithu Sara, Scott Andrew, Johnson Lisa A, Robertson James, Schonfeld Justin, Bastedo D Patrick, Tang Joshua, Yin Xianhua, Rehman Attiq, Wallace Rhiannon L, Thomas Krysty, Eagle Shannon H C, McAllister Tim, Diarra Moussa S, Nash John H E, Topp Ed, Van Domselaar Gary, Taboada Eduardo, Tamber Sandeep, Kess Tony, Broadbent Jordyn, Poulin-Laprade Dominic, Smith Derek D N, Reid-Smith Richard, Zaheer Rahat, Laing Chad R, Carrillo Catherine D, Hsiao William W L

机构信息

Centre for Infectious Disease Genomics and One Health, Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.

Public Health Agency of Canada, Canada.

出版信息

Can J Microbiol. 2025 Jan 1;71:1-14. doi: 10.1139/cjm-2024-0203.

Abstract

The Canadian Genomics Research and Development Initiative for Antimicrobial Resistance (GRDI-AMR) uses a genomics-based approach to understand how health care, food production and the environment contribute to the development of antimicrobial resistance. Integrating genomics contextual data streams across the One Health continuum is challenging because of the diversity in data scope, content and structure. To better enable data harmonization for analyses, a contextual data standard was developed. However, development of standards does not guarantee their use. Implementation strategies are critical for putting standards into practice. This work focuses on the development of implementation strategies to better operationalize data standards across the Canadian federal genomics ecosystem. Results include improved understanding of complex data models that can create challenges for existing systems. Technical implementation strategies included spreadsheet-based solutions, new exchange formats, and direct standards integration into new databases. Data curation exercises highlighted common data collection and sharing issues, which informed improved practices and evaluation procedures. These new practices are contributing to improved data quality and sharing within the GRDI-AMR consortium as evidenced by publicly available datasets. The implementation strategies and lessons learned described in this work are generalizable for other standards and can be applied more broadly within other initiatives.

摘要

加拿大抗微生物药物耐药性基因组学研究与发展倡议(GRDI-AMR)采用基于基因组学的方法,以了解医疗保健、食品生产和环境如何促成抗微生物药物耐药性的产生。由于数据范围、内容和结构的多样性,整合“同一健康”连续统一体中的基因组学背景数据流具有挑战性。为了更好地实现数据协调以进行分析,制定了一项背景数据标准。然而,标准的制定并不能保证其得到使用。实施策略对于将标准付诸实践至关重要。这项工作侧重于制定实施策略,以更好地在加拿大联邦基因组学生态系统中实施数据标准。结果包括对可能给现有系统带来挑战的复杂数据模型有了更深入的理解。技术实施策略包括基于电子表格的解决方案、新的交换格式,以及将标准直接集成到新数据库中。数据管理工作突出了常见的数据收集和共享问题,这些问题为改进实践和评估程序提供了依据。这些新做法正在提高GRDI-AMR联盟内的数据质量和共享,公开可用的数据集就是证明。这项工作中描述的实施策略和经验教训适用于其他标准,并且可以在其他倡议中更广泛地应用。

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