The Data Source Score represents the quality of data inputs used to calculate emissions for assets in your fleet. A higher score reflects more reliable and accurate emissions data.
This article explains:
What data affects the score
Where to find the score
How to improve the score
What data is used?
The score is based on a combination of time-series data and asset metadata, depending on the type of connection your asset has.
For assets with CAN connections and those connected via OEM API feeds, any of the following data inputs are available:
| For assets with 3-wire IoT device installations, the following time-series data point is available:
| For all assets, any of the following metadata is available:
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Where can I view the Data Source Score for each asset?
You can locate the Date Source Score in the Emissions Reporting app:
In the Data Scoring tab
In the Data Source Score column under Fleet Emissions and Trends tabs
In the Data Source Score column, in exported reports
Data Source Score Overview
Below is a detailed breakdown of how the scores are determined based on the combined time-series data and asset metadata provided:
Data Source Score | Time-Series Data Provided | Metadata Provided |
Excellent | CO₂ Emissions, Fuel Usage, or Electricity Usage | None |
Excellent | Fuel Level | Fuel Tank Capacity (L) |
Excellent | Battery State of Charge | Battery System Rated Power Capacity (kWh) or Battery System Rated Capacity (Ah) + Battery System Rated Power (V) |
Very High | Fuel Rate | Engine Power (kW) |
High | Fuel Rate | None |
Medium | Operating Hours or Engine Hours | Brand and Model |
Low | Operating Hours or Engine Hours | Machine type |
Very Low | Operating Hours or Engine Hours | None |
How can I improve the Data Source Score?
The Data Source Score measures the quality and completeness of data coming from your asset. A higher score means better insights and reporting accuracy.
Depending on your asset’s current score, you can take specific actions to improve it.
The two main actions to improve a Data Source Score
Providing more asset metadata
If the asset is CAN-capable:
Connecting to the asset via CAN
Applying a CAN profile that reports one of the time series data points listed in the table above
Exemplary scenarios showing how to improve a Data Source Score:
Scenario | Action taken | Score improvement |
An asset reports only Operating Hours or Engine Hours, but has no other metadata defined | Specifying Brand and Model for that asset | From “Very Low” to “Medium” |
An asset has a Data Source Score of “Medium” but is capable of reporting Fuel Usage via CAN | Applying a CAN profile that reports the datapoint Fuel Usage | From "Medium" to "Excellent" |
An asset has a Data Source Score of “High”, because it reports Fuel Rate via CAN | Specifying the asset’s Fuel Tank Capacity | From "High" to "Excellent" |
💡 Tip: Filter reports to capture assets missing metadata
Using the Fleet Emissions tab and filter dropdowns (type, brand, model). If a value is missing, the asset will be labelled as "Undefined".
We recommend to filter by Undefined to find assets with missing metadata. Click on each asset to open its specification page where you can update metadata to improve the Data Source Score.
💡 Tip:
Need more help?
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