Conducting statistical surveys requires performing a number of specific steps beginning from collecting data, through processing them to preparing results. Each step is a process. The processes are dependent on each other and must be performed in a specific sequence. The large number of such processes and their interconnectedness leads to difficulties in determining what processing step we are currently in and what the next step should be. The solution is to describe these dependencies in the form of metadata and to manage them appropriately. One of such processes is the data sets validation, which consists data validation rules. Rules are created by experts in a given topic and then implemented in the data processing system by technical persons. Such implementation is not always trivial. The solution is to describe the rules in the form of notations that can be automatically translated into an executable form. Such records may be stored in the form of metadata and used by the data processing system.