This paper presents an interim report on a collaborative project, called T-project, whose aim is to develop a set of effective topological tools for allowing users to visually identify structural features of interest embedded in large-scale volume datasets. An overview of underlying topo-logical representations and progressive volume data mining schemes is given with application to a time-varying volume dataset from atomic collision research. Future R&D issues are also mentioned.
