Using a practical antimicrobial-resistance surveillance case study, you will learn how to:

• Identify relevant public scientific data sources.

• Retrieve and organise datasets and metadata.

• Clean, harmonise and assess data quality.

• Explore geographical and temporal patterns.

• Detect emerging signals and unusual observations.

• Create scientific visualisations and a surveillance dashboard.

• Transform the findings into a research-ready report.

• One Research Challenge. One Complete Workflow.

Omi will work with participants from beginning to end:

Define the question → discover the data → curate the records → analyse the patterns → build the dashboard → generate the report.

A scientific mentor will explain the results, validate key decisions and highlight the limitations of the evidence.