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Select a stage from the pipeline panel, or a term from the browse list, to see its definition here.

Define objectives, datasets, and constraints before any data work begins.

Clean, standardise, and structure input data to maximise match quality.

Reduce the comparison space by partitioning records into candidate pairs.

Compute field-level similarities for each candidate pair.

Decide match, non-match, or possible-match status for each pair.

Assess linkage quality against ground truth or clerical review.

Human validation of uncertain or borderline record pairs.

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