OBJECTIVE: Data reporting standards are critical to data trustworthiness. The standards presented herein aim to provide a framework for method quality assessment in biodetection.
METHODS: We present a set of standards, Amplicon Sequencing Minimal Information (ASqMI), developed under the auspices of the AOAC INTERNATIONAL Stakeholder Program on Agent Detection Assays for making actionable calls in biosurveillance applications. In addition to the first minimum information guidelines for AS, we provide a controls checklist and scoring scheme to assure AS run quality and assess potential sample contamination.
RESULTS: Adoption of the ASqMI guidelines will improve data quality, help track workflow performance, and ultimately provide decision makers confidence to trust the results of this new and powerful technology.
CONCLUSIONS: AS workflows can provide robust, confident calls for biodetection; however, due diligence in reporting and controls are needed. The ASqMI guideline is the first AS minimum reporting guidance document that also provides the means for end users to evaluate their workflows to improve confidence.
CONCLUSIONS: Standardized reporting guidance for actionable calls is critical to ensuring trustworthy data.
目标:数据报告标准对于数据可信度至关重要。本文提出的标准旨在为生物检测中的方法质量评估提供框架。
方法:我们提出了一套标准,扩增子测序最小信息(AsqMI),在AOAC国际利益相关者代理检测分析计划的主持下开发,用于在生物监督应用中进行可操作的调用。除了AS的第一个最低信息指南之外,我们提供对照检查表和评分方案,以确保AS运行质量并评估潜在的样品污染.
结果:采用AsqMI指南将提高数据质量,帮助跟踪工作流性能,并最终为决策者提供信心,让他们相信这项新的强大技术的结果。
结论:AS工作流程可以提供稳健的,自信地呼吁生物检测;然而,在报告和控制方面需要尽职调查。AsqMI指南是第一个AS最低报告指导文件,它还为最终用户提供了评估其工作流程以提高信心的方法。
结论:可操作呼叫的标准化报告指南对于确保可信数据至关重要。