Within ABS.Stat, statistical data are organised in the form of datasets. A dataset is a collection of numerical values and their associated textual information, with all values sharing a common set of dimensions. Each dataset is attached to a specific statistical activity or sub-activity.
The dimensions of a dataset are the axes on which the data are described. Dimensions can be presented as either a flat list or as a hierarchy. Time is a common example of a dimension.
Every dimension contains a pre-defined list of items, called dimension members. In the Time dimension for example, the dimension members are the different time periods.
Qualitative data, attached to the quantitative data in ABS.Stat is called reference metadata. Reference metadata can be found at various levels, ranging from an abstract found at the level of an entire dataset, or series-level footnotes which apply to a broad selection of data within a dataset, and down to the level of a single cell.