Data Quality

Quality score

• Quality score is based on input data type. 5 categories are defined with associated computation scores. Computation scores are used to computed score at entity or project level. Categories are defined as follow:
  • A: Pressure (computation score 5)
  • B: Commodity (computation score 4)
  • C: Product (computation value 3)
  • D: Monetary (computation value 2)
  • E: Extrapolated data, see section on result combination (computation value 1)
• Quality scores can be computed for all project entities and all result indicators (commodities, pressures and impacts).
• At entity level, the quality score is the weighted average of the selected result indicator values (for instance aggregated impacts in species.yr) by the quality score of the input points used to generate the indicator values.

Example:

Dairy Inc. quality score (QS) on impacts result: QS = weighted average (impacts, input point quality) = (2.5*2 + 1*4 + 0.5*5) / (2.5 + 1 + 0.5) = 2.9