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A typical usage scenario is that users select data together with an algorithm and invoke a workflow with tuned parameters. The data to be used in the test case is from the present EISCAT facilities, and the processing software is provided by EISCAT and originally written in Matlab. In this use case, we chose a Matlab processing package that could be converted into open source software. The process is to generate a graphical visualisation of the experimental data. Figure 1 shows the EISCAT Real Time Graph (RTG), which is primarily developed to follow the radar run in real-time and to produce a display of basic parameters, such as returned power spectra.

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Fig_1 Fig_1

Figure 1: EISCAT Real Time Graph produces visualisation of the processing of raw EISCAT radar data with basic parameters.

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FIg_2 FIg_2

Figure 2: In gCube, EISCAT users can create processing algorithms and share them with others.

The RTG was modified to run under GNU Octave, and to produce the plots in batch mode with some selected input parameters. The whole setup was installed into the D4Science gCube Virtual Research Environment, provided by ENVRIplus WP7. The D4Science gCube Data Analytics is executed via a web dashboard based GUI. The ticketing system of D4science has been effectively used for tracking the implementation and communicating with WP7 developers. Some initial results are shown in Figure 2, which demonstrates that in the gCube platform, the EISCAT RTG algorithms are translated into Octave, and compiled and published in an ENVRIplus community space. In the same way, an algorithm created by a single EISCAT user can be shared and reused by others. 

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