K uses a unique algorithm to calculate a Trust Score for every data asset. The Trust Score serves two purposes: it guides data users toward reliable, well-documented data, and it helps data managers identify which assets need attention to drive adoption and trust.
Where to find the Trust Score
The Trust Score is displayed in the right-hand Details panel on every Data Profile Page.
How the Trust Score is calculated
The Trust Score is calculated using a range of attributes. Each attribute can boost or penalise the score:
|
Attribute |
Effect on score |
|---|---|
|
Usage frequency and variety |
The more varied and frequent the usage across the organisation, the higher the score |
|
Type of users |
Usage by a variety of user types (business users, data workers, etc.) boosts the score |
|
Verified use cases |
Assets verified for a business use case receive a significant boost, even with moderate usage |
|
Domain assignment |
Assets assigned to a data domain receive a score boost |
|
Documentation quality |
Description, owners, stewards, and collection links all contribute positively |
|
Lineage availability |
Known provenance (upstream lineage) boosts the score |
|
Open issues |
Open data issues penalise the Trust Score until they are resolved |
How to improve an asset's Trust Score
If you are a data owner or governance manager looking to improve Trust Scores across your data estate, focus on:
-
Adding or verifying descriptions for key assets
-
Assigning data owners and stewards to unclaimed assets
-
Linking assets to collections and domains
-
Verifying assets for confirmed business use cases
-
Resolving open data issues
💡 Use Governance Insights in Dashboards and Insights to identify assets with low Trust Scores across your data estate so you can prioritise remediation work.