Crossing the streams: improving data quality and integration across the One Health genomics continuum with data standards and implementation strategies Article Swipe
Emma Griffiths
,
Emil Jurga
,
Gabriel Wajnberg
,
Julie A. Shay
,
Rhiannon Cameron
,
Caroline Barclay
,
Anoosha Sehar
,
Damion Dooley
,
Nithu Sara John
,
Andrew Scott
,
Lisa A. Johnson
,
James Robertson
,
Justin Schonfeld
,
D. Patrick Bastedo
,
Joshua Tang
,
Xianhua Yin
,
Muhammad Attiq Rehman
,
Rhiannon L. Wallace
,
Krysty Thomas
,
Shannon H.C. Eagle
,
Tim A. McAllister
,
Moussa S. Diarra
,
John J. Nash
,
Edward Topp
,
Gary Van Domselaar
,
Eduardo N. Taboada
,
Sandeep Tamber
,
Tony Kess
,
Jordyn Broadbent
,
Dominic Poulin‐Laprade
,
Derek D. N. Smith
,
Richard J. Reid‐Smith
,
Rahat Zaheer
,
Chad Laing
,
Catherine D. Carrillo
,
William Hsiao
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1139/cjm-2024-0203
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1139/cjm-2024-0203
The Canadian Genomics Research and Development Initiative for Antimicrobial Resistance (GRDI-AMR) uses a genomics-based approach to understand how health care, food production and the environment contribute to the development of antimicrobial resistance. Integrating genomics contextual data streams across the One Health continuum is challenging because of the diversity in data scope, content and structure. To better enable data harmonization for analyses, a contextual data standard was developed. However, development of standards does not guarantee their use. Implementation strategies are critical for putting standards into practice. This work focuses on the development of implementation strategies to better operationalize data standards across the Canadian federal genomics ecosystem. Results include improved understanding of complex data models that can create challenges for existing systems. Technical implementation strategies included spreadsheet-based solutions, new exchange formats, and direct standards integration into new databases. Data curation exercises highlighted common data collection and sharing issues, which informed improved practices and evaluation procedures. These new practices are contributing to improved data quality and sharing within the GRDI-AMR consortium as evidenced by publicly available datasets. The implementation strategies and lessons learned described in this work are generalizable for other standards and can be applied more broadly within other initiatives.
Related Topics
Concepts
Operationalization
Data science
Data sharing
Harmonization
Data quality
Computer science
Scope (computer science)
Best practice
Data integration
Big data
Data curation
Data exchange
Standardization
Knowledge management
Process management
Data mining
Database
Engineering
Political science
Medicine
Operations management
Philosophy
Epistemology
Metric (unit)
Operating system
Programming language
Acoustics
Pathology
Physics
Law
Alternative medicine
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1139/cjm-2024-0203
- OA Status
- hybrid
- Cited By
- 3
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406608442
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4406608442Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1139/cjm-2024-0203Digital Object Identifier
- Title
-
Crossing the streams: improving data quality and integration across the One Health genomics continuum with data standards and implementation strategiesWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-01Full publication date if available
- Authors
-
Emma Griffiths, Emil Jurga, Gabriel Wajnberg, Julie A. Shay, Rhiannon Cameron, Caroline Barclay, Anoosha Sehar, Damion Dooley, Nithu Sara John, Andrew Scott, Lisa A. Johnson, James Robertson, Justin Schonfeld, D. Patrick Bastedo, Joshua Tang, Xianhua Yin, Muhammad Attiq Rehman, Rhiannon L. Wallace, Krysty Thomas, Shannon H.C. Eagle, Tim A. McAllister, Moussa S. Diarra, John J. Nash, Edward Topp, Gary Van Domselaar, Eduardo N. Taboada, Sandeep Tamber, Tony Kess, Jordyn Broadbent, Dominic Poulin‐Laprade, Derek D. N. Smith, Richard J. Reid‐Smith, Rahat Zaheer, Chad Laing, Catherine D. Carrillo, William HsiaoList of authors in order
- Landing page
-
https://doi.org/10.1139/cjm-2024-0203Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1139/cjm-2024-0203Direct OA link when available
- Concepts
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Operationalization, Data science, Data sharing, Harmonization, Data quality, Computer science, Scope (computer science), Best practice, Data integration, Big data, Data curation, Data exchange, Standardization, Knowledge management, Process management, Data mining, Database, Engineering, Political science, Medicine, Operations management, Philosophy, Epistemology, Metric (unit), Operating system, Programming language, Acoustics, Pathology, Physics, Law, Alternative medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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- Related works (count)
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10Other works algorithmically related by OpenAlex
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