Fortunately, an increasing body of research concerns itself with the automatic cleanup of large databases. We describe a generic approach that utilizes robust findings from this body of research, and that is applicable to object databases typically found in cultural heritage fields. We focus on the role of automatic database cleanup technology as a strong filter, making the data-cleaning task feasible for the human expert (researcher, curator) by highlighting potential errors and inconsistencies, which the expert can then manually check and correct.