2024-bsc-sebastian-lenzlinger/notes/testbed/testbed design and architecture.md

FAIR data + privacy metric evaluation algos. Dataset offers some schema. Privacy metric requires some set of features. Case 1 dataset schema = required features by privacy metric Case 2 dataset schema \subset required features -> 2.1: feature extraction algo(s) exists, which can computed missing features 2.2: missing features CANNOT be computed form available schema/data Case 3 dataset schema \supset required features -> project schema down into relevant feature space/ leave out uneeded data Case 4 Unknown relationship -> further investigaton needed Is this realistic case?