Data quality assessment in a generic social LCA database, approach and application

When using social LCA data for decision support, it is essential to understand its reliability and completeness, and in how far it links to time, the products, and the region of interest. We will present an approach to assess... [ view full abstract ]

When using social LCA data for decision support, it is essential to understand its reliability and completeness, and in how far it links to time, the products, and the region of interest.
We will present an approach to assess the data quality for an entire, generic social LCA database, PSICLA, where a data quality assessment approach was first introduced; we will show the development of the data quality assessment over one year in the database, and will of course also show the application.
The application will be a hybrid case study, where the PSILCA database is linked to a process-based social LCA case study, for Turkish organic cotton.
The case study will be explained, and it will be investigated and discussed how far the data quality helps in decision support and in understanding the reliability of the study.