A reference activity dataset is a dataset representing a default description of an Activity intended to be close to the global average for the most recent year for which data is available, when applied as Parent dataset for other datasets for the same activity but with other specific geographical and/or temporal and/or scenario settings.
This type of dataset serves as a baseline or template within LCA database structures, particularly in systems that employ data inheritance mechanisms. The reference activity dataset provides a comprehensive default representation of an activity that reflects globally representative conditions based on the most current available data. This global average perspective makes it suitable as a starting point for modelling activities where specific regional, temporal, or scenario-based data may not be available or where consistency across varied contexts is desired.
The primary function of a reference activity dataset is to act as a Parent dataset from which more specific datasets can be derived. A parent dataset is one that is referenced by child datasets, which inherit field values from the parent to the extent defined by delta datasets. This inheritance structure allows LCA practitioners to maintain consistency across related datasets whilst enabling customisation for specific contexts. For instance, if electricity production varies significantly by region, a global reference activity dataset for electricity generation could serve as the parent, with child datasets adapted to reflect European, Asian, or North American production mixes.
By establishing this hierarchical data structure, reference activity datasets promote efficiency in database management. Rather than creating entirely separate datasets for each geographical area, time period, or scenario, practitioners can build upon the reference dataset, modifying only those parameters that differ from the global average. This approach reduces redundancy, improves data quality through consistent baseline values, and simplifies database maintenance when updates to common parameters are required.
The temporal aspect is particularly important, as reference activity datasets are intended to represent the most recent year for which reliable data is available. This ensures that the baseline reflects current technological practices, energy mixes, and production efficiencies, providing a relevant foundation for contemporary LCA studies.
