跨越流:改善数据质量和整合整个One Health基因组学连续与数据标准和实施策略
Emma J Griffiths1, Emil Jurga2, Gabriel Wajnberg3
1Centre for Infectious Disease Genomics and One Health, Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
Canadian journal of microbiology
|January 20, 2025
概括
实施数据标准是了解卫生,食品和环境部门的抗菌素耐药性 (AMR) 的关键. 本研究详细介绍了在加拿大基因组学研究中实施这些标准的战略,改善数据共享和质量.
科学领域:
- 基因组学就是基因组学.
- 一个健康,一个健康.
- 抗微生物耐药性 (AMR) 是一种
背景情况:
- 抗菌素耐药性 (AMR) 是一个复杂的挑战,受到医疗保健,食品生产和环境因素的影响.
- 整合多样化的基因组学数据在One Health连续体中受到数据范围,内容和结构变化的阻碍.
- 开发了一个上下文数据标准,以实现对抗药物耐药性研究的数据协调.
研究的目的:
- 开发和评估实施战略,在加拿大联邦基因组学生态系统内运行数据标准.
- 为了解决将多样化的数据流集成为抗菌药物耐药性研究的挑战.
- 改善GRDI-AMR财团内的数据质量和共享实践.
主要方法:
- 开发技术实施策略,包括电子表格解决方案,新的交换格式和直接数据库集成.
- 开展数据策划实践,以确定常见的数据收集和共享问题.
- 根据数据策划的发现,为改进的实践和评估程序提供信息.
主要成果:
- 更好地理解复杂的数据模型,这些数据模型对现有系统构成挑战.
- 成功实施技术解决方案,促进数据标准化.
- 在GRDI-AMR财团内提高数据质量和共享,从而实现公开可用的数据集.
结论:
- 有效的实施策略对于成功采用数据标准至关重要.
- 开发的策略和经验教训可将其推广到其他数据标准和举措.
- 改进的数据实践有助于更强大的了解和管理抗菌素耐药性.
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