Editing Science Demonstrator 7: gCube-based VRE for Mosquito Diseases Study (Use Case SC 2)

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<center><span style="color: #BBCE00">'''Figure 2. VRE interfaces for mosquito disease study'''</span></center>
<center><span style="color: #BBCE00">'''Figure 2. VRE interfaces for mosquito disease study'''</span></center>
== <span style="color: #BBCE00">Advantages</span> ==
Using the VRE, there is no more need for manual sharing of data and algorithms. Information is always synchronized, and data and algorithms are joined in a single place. Users can enjoy an easy and user friendly access interface. The D4Science/gCube-based VRE has an interface to EGI Cloud/HTC resources. If needed, it can outsource the computation on the large-scale e-Infrastructure that can handle computation in parallel and store and share large volumes of data.
The integration service can bring added value to the Lifewatch community. It makes it possible for individual researchers to repeat and reuse algorithms at will, run trend analysis, and add new parameters and custom data. The VRE provides provenance registration that improves reproducibility. The VRE also allows retention of computation results in the user’s workspace. This makes it possible to edit and adapt algorithms.                                                                   
The integration service also brings added value to ENVRIplus community. Enabling individual researchers to share data and/or algorithms is common to many ENVRIplus RIs  where currently data is processed using standard models. Researchers want to use different analysis models and they need a VRE to work together. 

This pilot investigation tested and validated WP7 technology. The demo illustrates the integration solutions of linking gCube VRE to LifeWatch RI and to the EGI e-Infrastructure. There are also some lessons learned from the pilot activities: The D4Science/gCube VRE is easy for simple algorithms
. It needs integration efforts for complicated algorithms
, that requests domain researchers to have technical skills to work with different technology.
== <span style="color: #BBCE00">Link to the Demonstrator</span> ==
This demonstrator illustrates a proof of concept of the proposed architecture that uses D4Science to setup a community-centric VRE, allowing researchers to share a simple algorithm with some data and allowing running computations on EGI FedCloud e-Infrastructure. The data was gathered and produced by the involved RIs and the dynamic computation was executed on EGI Federation’s resources.
Youtube video is at https://youtu.be/XtcCxkFX98I
== <span style="color: #BBCE00">Contributors</span> ==
* Baptiste Grenier, EGI, [mailto:baptiste.grenier@egi.eu baptiste.grenier@egi.eu]
* Dr Matthias Obst, Swedish Lifewatch, [mailto:matthias.obst@marine.gu.se matthias.obst@marine.gu.se]
* Dr Leonardo Candela, CNR-ISTI, [mailto:leonardo.candela@isti.cnr.it leonardo.candela@isti.cnr.it]
* Dr Gianpaolo Coro, CNR-ISTI, [mailto:gianpaolo.coro@isti.cnr.it gianpaolo.coro@isti.cnr.it]
[[Category:Science Demonstrators]]
[[Category:Science Demonstrators]]

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