j. Is there any automated decision making or profiling? What is the significance and the consequences of this?

Part of the process to prepare annual datasets involves identifying database records thought to belong to the same individual. A computerised algorithm uses data items to compare and link records, so that data from multiple records can be merged if appropriate. This is so that an individual only has one record for research analyses. Profiling of the data assists in data cleaning and in ascertaining how suitable it is for research analyses.