Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

44.5K
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.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
44.5K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

38.0K
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.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
38.0K
Data Reporting and Recording01:24

Data Reporting and Recording

5.4K
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...
5.4K
Data Validation01:15

Data Validation

1.8K
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.
Key parameters for method validation include:
1.8K
Data Validation01:03

Data Validation

6.7K
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.
Nursing assessment guides are generally based on holistic models rather than medical...
6.7K
Data Collection II01:29

Data Collection II

10.0K
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...
10.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Investigating the mobility and host range of mobile genetic elements harbouring antimicrobial resistance genes in enterococci.

Microbiology (Reading, England)·2026
Same author

Comparative Diagnostic Evaluation of Microscopy and Targeted Next-generation Sequencing of the Barcoding Gene Cytochrome oxidase subunit I for Tick Identification in British Columbia, 2021-2023.

International journal for parasitology·2026
Same author

Mobility between communities can reduce the impact of measles intervention during an outbreak: a mathematical modeling study.

Frontiers in public health·2026
Same author

SAASI: Sampling Aware Ancestral State Inference.

Nature communications·2026
Same author

Community-led standards for global wastewater-based infectious disease surveillance.

PLOS global public health·2026
Same author

Development and evaluation of dried urine strip for genital chlamydia and gonorrhea testing.

Journal of clinical microbiology·2026

Related Experiment Video

Updated: Jan 31, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K

The Mpox contextual data specification package: a data curation toolkit to support collaborative pathogen genomic

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.

Microbial Genomics
|January 29, 2026
PubMed
Summary

A new Mpox virus (MPXV) data specification standardizes contextual information for genomic surveillance. This harmonization aids public health responses during MPXV outbreaks.

Keywords:
MpoxMpox virus (MPXV)contextual datadata managementgenomic surveillanceharmonization

More Related Videos

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

6.4K
Characterization of a Pathogenic Escherichia coli Strain Derived from Oreochromis spp. Farms Using Whole-Genome Sequencing
09:44

Characterization of a Pathogenic Escherichia coli Strain Derived from Oreochromis spp. Farms Using Whole-Genome Sequencing

Published on: December 23, 2022

2.9K

Related Experiment Videos

Last Updated: Jan 31, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K
Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

6.4K
Characterization of a Pathogenic Escherichia coli Strain Derived from Oreochromis spp. Farms Using Whole-Genome Sequencing
09:44

Characterization of a Pathogenic Escherichia coli Strain Derived from Oreochromis spp. Farms Using Whole-Genome Sequencing

Published on: December 23, 2022

2.9K

Area of Science:

  • Genomic surveillance
  • Infectious disease epidemiology
  • Bioinformatics data standards

Background:

  • Global Mpox virus (MPXV) outbreaks in 2022 and 2024 necessitated enhanced public health genomic surveillance.
  • Interpreting MPXV sequence data requires harmonized contextual information (metadata, clinical, lab data), which is often unstructured and variable.
  • Manual data clean-up for genomic surveillance is labor-intensive, time-consuming, and prone to errors.

Purpose of the Study:

  • To develop a standardized specification for Mpox virus contextual data to facilitate genomic surveillance.
  • To improve the harmonization and usability of MPXV sample and infection data for public health decision-making.
  • To create an adaptable data standard leveraging existing semantic frameworks for broader application.

Main Methods:

  • Developed an MPXV contextual data specification with standardized, ontology-based fields and terms.
  • Prioritized geo-temporal, data provenance, and sampling strategy information for surveillance.
  • Implemented the specification within the open-source DataHarmonizer application for data curation, validation, and transformation.

Main Results:

  • The MPXV data specification provides standardized fields for capturing MPXV infection and sample information.
  • The specification is compatible with existing public health pathogen genomics data standards.
  • The DataHarmonizer application, incorporating the MPXV specification, is available for public health use.

Conclusions:

  • The developed MPXV data specification effectively harmonizes crucial contextual data for genomic surveillance.
  • This initiative supports more efficient and accurate public health responses to Mpox virus outbreaks.
  • The specification and its open-source implementation are valuable resources for national and international public health agencies.