Automated and manual data editing: a view on process design and methodology

Data editing is arguably one of the most resource-intensive processes at NSI’s. Forced by ever increasing budget pressure, NSIs keep searching for more efficient forms of data editing. Efficiency gains can be obtained by selective editing, that is limiting the manual editing to influential errors, and by automating the editing process as much as possible. In this paper we present a decomposition of the overall editing process in a number of different tasks given an up-to-date overview of all the possibilities of automatic editing in terms of these tasks.