  New developments in data processing and visualization are being made in
preparation for upcoming radioastronomical surveys planned with the Square
Kilometre Array (SKA) and its precursors. A major goal is enabling extraction
of science information from the data in a mostly automated way, possibly
exploiting the capabilities offered by modern computing infrastructures and
technologies. In this context, the integration of source analysis algorithms
into data visualization tools is expected to significantly improve and speed up
the cataloguing process of large area surveys. To this aim, the CIRASA
(Collaborative and Integrated platform for Radio Astronomical Source Analysis)
project was recently started to develop and integrate a set of services for
source extraction, classification and analysis into the ViaLactea visual
analytic platform and knowledge base archive. In this contribution, we will
present the project objectives and tools that have been developed, interfaced
and deployed so far on the prototype European Open Science Cloud (EOSC)
infrastructure provided by the H2020 NEANIAS project.
