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METHODOLOGIES

How the data-quality score is calculated

A 0–100 score from geometry, provenance, flags, duplicates, verification and licence clarity.

Intermediate 1 min read qualityscoreprovenancelicence

Each dataset gets a score out of 100. It is a health check on the data as stored, not a judgement of the source's science.

Component Weight Full marks when
Geometry present 30 No feature lacks a geometry
Provenance 25 Every feature links to its source record
Quality flags 15 No feature carries a QA flag (such as a rejected value)
Duplicates 15 No repeated source ids
Verification 10 Units and the archived copy have been checked
Licence clarity 5 The publisher states a licence

Reading it. Most datasets score in the 90s. A dataset can score 95 and still be unsuitable for your purpose; and one scoring 70 may be perfectly usable if the missing marks are only "licence to be confirmed".

Where to see it. The Data Quality page lists all datasets with their scores, and every dataset page shows its own.

Limits. The score does not measure accuracy against the real world.

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