1) Need for clear separation of design (2, 3) and run (4-8)
2) Clarify better what is in quality and metadata management as compared to the quality and metadata that are part of the statistical process
3) Integrate data 5.1 contains many different things: national accounts, data linking, data matching, data integration. It requires more analysis, and probably some further distinctions
4) The split in 5.3 (Review, validate & edit) and 5.4 (Impute) feels unnatural to me. The more logical steps are detection of errors and correction of errors. Imputation is just one approach to correction. My feeling is strenghtened by the fact that Eurostat will spend efforts on detecting errors, but will usually report them back to the Member States and not start correcting the data originally received in order to avoid incoherence.
By the way, the term data editing is confusing to anyone not used to this terminology, and especilly to persons with an IT background. It gives the impression of opening a text editor and do undocumented changes to the data file. Data editing is not allowed!