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Specification of data quality of the consumption data

In order to be able to assess the accuracy of the LCA balance, it is important to specify the data quality of the consumption data entered.

When entering the consumption data, the quality of the entered value should be specified in the Precision column. The assessment is based on the two dimensions temporal and technological representativeness and is given on a scale from very good to very poor. Activity data counts as primary when the quality is rated "Very good".

Temporal representativeness — How current is the emission factor compared to the reporting year?

Rating level Definition
Very good ≤ 1 year
Good > 1 year and ≤ 2 years
Sufficient   > 2 years and ≤ 3 years
Poor > 3 years and ≤ 4 years
  Very Poor  > 4 years

Technological representativeness — How well does the underlying technology of the emission factor used match the real process?

Rating level Definition
Very good The emission factor is based on the same technology as the process under consideration, directly at the same site (e.g. when measured data from your own facility is used).
Good The emission factor is based on the same technology, but not exactly at site level (e.g. data from another plant of the same company).
Sufficient   The emission factor is based on general industry average data, e.g. a database value.
Poor The emission factor is based on a comparable technology, e.g. using a similar material or process.
  Very Poor  The technology underlying the emission factor does not match the real process or is unknown.

Combined rating

Rating level Definition
Very good Both dimensions very good.
Good Both dimensions good or better.
Sufficient   Both dimensions sufficient or better.
Poor At least one dimension poor.
  Very Poor  At least one dimension very poor.

Migration of existing reports: For existing reports, the previous rating levels are automatically migrated to the new scale:

New Old
Very good Record / Measurement
Good Extrapolation
Sufficient  Spend-based
Poor Estimate
  Very Poor  -

After migration, please check whether the transferred values correctly reflect your data and adjust them manually if needed. Please also note that you need to enter the new values in existing CSV files.