Skip to content

McArthur Lab

Michael G. DeGroote Institute for Infectious Disease Research, McMaster University

  • Research
  • Resources
  • People
  • MACGENOM
  • Publications
  • Home
  • The Dataharmonizer: a Tool for Faster Data Harmonization, Validation, Aggregation, and Analysis of Pathogen Genomics Contextual Information
big data clinical metadata epidemiology molecular epidemiology publications SARS-CoV-2 virus epidemiology

The Dataharmonizer: a Tool for Faster Data Harmonization, Validation, Aggregation, and Analysis of Pathogen Genomics Contextual Information

June 24, 2022June 24, 2022 agmcarthur

Gill et al. 2022. Preprints 10.20944/preprints202206.0335.v1

Pathogen genomics is a critical tool for public health surveillance, infection control, outbreak investigations, as well as research. In order to make use of pathogen genomics data, it must be interpreted using contextual data (metadata). Contextual data includes sample metadata, laboratory methods, patient demographics, clinical outcomes, and epidemiological information. However, the variability in how contextual information is captured by different authorities and how it is encoded in different databases poses challenges for data interpretation, integration, and its use/re-use. The DataHarmonizer is a template-driven spreadsheet application for harmonizing, validating, and transforming genomics contextual data into submission-ready formats for public or private repositories. The tool’s web browser-based JavaScript environment enables validation and its offline functionality and local installation increases data security. The DataHarmonizer was developed to address the data sharing needs that arose during the COVID-19 pandemic, and was used by members of the Canadian COVID Genomics Network (CanCOGeN) to harmonize SARS-CoV-2 contextual data for national surveillance and for public repository submission.In order to support coordination of international surveillance efforts, we have partnered with the Public Health Alliance for Genomic Epidemiology to also provide a template conforming to its SARS-CoV-2 contextual data specification for use worldwide. Templates are also being developed for One Health and foodborne pathogens. Overall, the DataHarmonizer tool improves the effectiveness and fidelity of contextual data capture as well as its subsequent usability. Harmonization of contextual information across authorities, platforms and systems globally improves interoperability and reusability of data for concerted public health and research initiatives to fight the current pandemic and future public health emergencies. While initially developed for the COVID-19 pandemic, its expansion to other data management applications and pathogens is already underway.

Related Posts

awards bioinformatics COVID19 epidemiology genomics lab members molecular epidemiology SARS-CoV-2 software virus epidemiology

Congratulations Ph.D. student Jalees Nasir!

February 24, 2023February 24, 2023 agmcarthur
awards COVID19 genomics lab members Mitacs molecular epidemiology SARS-CoV-2

Congratulations Dr. Sheridan Baker – Mitacs Elevate Postdoctoral Fellowship

February 9, 2023March 3, 2023 agmcarthur

Post navigation

Previous: Datasets for benchmarking antimicrobial resistance genes in bacterial metagenomic and whole genome sequencing
Next: Summer Conferences 2022
All Rights Reserved 2022.
Proudly powered by WordPress | Theme: Fairy by Candid Themes.