Crossing the streams: improving data quality and integration across the One Health genomics continuum with data...

Area of Science:

• Genomics
• One Health
• Antimicrobial Resistance (AMR)

Background:

• Antimicrobial resistance (AMR) is a complex challenge influenced by healthcare, food production, and environmental factors.
• Integrating diverse genomics data across the One Health continuum is hindered by data scope, content, and structural variations.
• A contextual data standard was developed to enable data harmonization for AMR research.

Purpose of the Study:

• To develop and evaluate implementation strategies for operationalizing data standards within the Canadian federal genomics ecosystem.
• To address challenges in integrating diverse data streams for AMR research.
• To improve data quality and sharing practices within the GRDI-AMR consortium.

Main Methods:

• Development of technical implementation strategies, including spreadsheet solutions, new exchange formats, and direct database integration.
• Conducting data curation exercises to identify common data collection and sharing issues.
• Informing improved practices and evaluation procedures based on data curation findings.

Main Results:

• Improved understanding of complex data models that pose challenges to existing systems.
• Successful implementation of technical solutions facilitating data standardization.
• Enhanced data quality and sharing within the GRDI-AMR consortium, leading to publicly available datasets.

Conclusions:

• Effective implementation strategies are crucial for the successful adoption of data standards.
• The developed strategies and lessons learned are generalizable to other data standards and initiatives.
• Improved data practices contribute to a more robust understanding and management of antimicrobial resistance.