f) Specify the quality of data needed to monitor progress, assess the risks to data quality, and the adequacy of procedures and controls to mitigate or manage those risks;
g) Devise systems to detect errors in outturn data, including potential over or under- counting;
h) Ensure that they assess risks to data from external sources, and take steps to gain assurance that the data provided are of adequate quality; and
i) Specify clear management and oversight responsibilities for data quality.