This paper will demonstrate an approach to manipulating very large datasets (n ~ 400 000) collected at five-yearly intervals.   It will describe multi-level (individual, group, cohort) data organisation, and within and between-network data matching strategies.  In addition it will describe a multi-dimensional data weighting protocol for non-random data.