  Radio survey datasets comprise an increasing number of individual
observations stored as sets of multidimensional data. In large survey projects,
astronomers commonly face limitations regarding: 1) interactive visual
analytics of sufficiently large subsets of data; 2) synchronous and
asynchronous collaboration; and 3) documentation of the discovery workflow. To
support collaborative data inquiry, we present encube, a large-scale
comparative visual analytics framework. Encube can utilise advanced
visualization environments such as the CAVE2 (a hybrid 2D and 3D virtual
reality environment powered with a 100 Tflop/s GPU-based supercomputer and 84
million pixels) for collaborative analysis of large subsets of data from radio
surveys. It can also run on standard desktops, providing a capable visual
analytics experience across the display ecology. Encube is composed of four
primary units enabling compute-intensive processing, advanced visualisation,
dynamic interaction, parallel data query, along with data management. Its
modularity will make it simple to incorporate astronomical analysis packages
and Virtual Observatory capabilities developed within our community. We discuss
how encube builds a bridge between high-end display systems (such as CAVE2) and
the classical desktop, preserving all traces of the work completed on either
platform -- allowing the research process to continue wherever you are.
