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相关概念视频

How Data are Classified: Categorical Data01:11

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Mpox上下文数据规范包:一个数据策划工具包,支持协作病原体基因组监测.

Emma J Griffiths1, Rhiannon Cameron1, Charlotte Barclay1

  • 1Centre for Infectious Disease Genomics and One Health (CIDGOH), Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.

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概括

一个新的Mpox病毒 (MPXV) 数据规范标准化了基因组监测的上下文信息. 这种协调有助于在MPXV爆发期间的公共卫生反应.

关键词:
蒙波克斯 (Mox Mpox) 是一个蒙博克斯病毒 (MPXV)语境数据 语境数据 语境数据数据管理数据管理基因组监测对基因组进行监测.统一化和化 统一化和化

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科学领域:

  • 基因组监测是指基因组的监测.
  • 传染病流行病学 传染病流行病学
  • 生物信息学数据标准 生物信息学数据标准

背景情况:

  • 2022年和2024年全球Mpox病毒 (MPXV) 爆发需要加强公共卫生基因组监测.
  • 解释MPXV序列数据需要协调的上下文信息 (元数据,临床,实验室数据),这些信息往往是无结构的和可变的.
  • 用于基因组监测的手动数据清理是劳动密集型,耗时,容易出现错误.

研究的目的:

  • 开发Mpox病毒上下文数据的标准化规范,以促进基因组监测.
  • 改善MPXV样本和感染数据的协调性和可用性,用于公共卫生决策.
  • 创建一个可适应的数据标准,利用现有的语义框架,实现更广泛的应用.

主要方法:

  • 开发了一个MPXV上下文数据规范,具有标准化,基于本体学的字段和术语.
  • 优先考虑的地理时间,数据来源和抽样战略信息用于监视.
  • 在开源DataHarmonizer应用程序中实现了规范,用于数据策划,验证和转换.

主要成果:

  • MPXV数据规范提供了标准化的字段,用于捕获MPXV感染和样本信息.
  • 该规范与现有的公共卫生病原体基因组学数据标准兼容.
  • 包含MPXV规范的DataHarmonizer应用程序可用于公共卫生用途.

结论:

  • 开发的MPXV数据规范有效协调了基因组监测的关键上下文数据.
  • 该倡议支持更有效,更准确的公共卫生应对Mpox病毒爆发的行动.
  • 该规范及其开源实现是国家和国际公共卫生机构的宝贵资源.