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K uses a unique algorithm to calculate a data item’s Trust Score.

The Trust Score can help:

• Guide data users to utilise trusted data

• Help data managers improve the trust level of their data to drive usage

How to locate the Data Trust Score?

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How is the Trust Score Calculated?

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The Trust Score is automatically calculated using a range of attributes including:

• The usage of the data product/asset across the Organisation: Frequency and variety of usage

• Who uses the data product/asset: Variety and type of users

• User Use cases: Verified use casesIf the data product/asset has been verified for a business use case

• Domain: If the data product/asset has been assigned to a data

• Documentation: If the data product/asset has been well documented (e.g. description, owners, and stewards, linked to collections)

• Lineage: If the data product/asset provenance is known

• Quality of data profile: Open issues assigned to the data product/asset will penalise its trust score

Each attribute can boost or penalise the trust score. For example:

• The more varied and frequent the usage, the higher the trust score

• if a data product/asset has been verified, the product/asset’s trust score will be boosted to a high trust score, even if its usage is only moderate compared to other data products/assets.

• If a data product has many issues raised against it, the trust score will be penalised until the issues are resolved.