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?
How is the Trust Score Calculated?
The Trust Score is 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
Use cases: If 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 documented
Lineage: If the data product/asset provenance is known
Quality of data profile: The number of open issues assigned to the data product/asset
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.