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Description
To me, it seems that the different working groups – data inventory, ontology, community database – are sequential tasks building on each other rather than parallel endeavours. The data inventory could compile existing data sources and their associated metadata, which facilitates data selection. For developing an ontology or alternative data model, one could first look at the existing database or ontology schemas of the inventoried data in step 1, and harmonize these instead of starting from scratch. This would make it easier to adapt existing data to the new harmonized data model, and increase its acceptance / popularity. Besides reproducibility and facilitation of meta-analysis, the data model could also aim to facilitate model / method integration, like coupling LCA and IO. Finally, instead of a community database, an information system could be developed that allows to query and extract data from the distributed, autonomous databases inventoried in step 1 thanks to the data harmonization in step 2.