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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
On this page
How to locate the Data Trust Score?
How to locate the Data Trust Score?
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The Trust Score is located on the right hand summary panel Details section of the Data Profile page
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 quality of documentation, data lineage and number of issuesThe 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.