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The proposed service architecture is shown in Figure 171. It combines different infrastructures: at a lower layer is the LifeWatch RI, containing the Swedish LifeWatch Portal that provides high-quality biological data for mosquito species, and the community data repositories that preserves environmental information and a series of ecological modelling algorithms. Datasets to be exploited include species data (95,730 abundance measurements from Sweden, Denmark, and Germany for 40 disease-carrying species in 2016), and hydrological data (generated by a regional hydrological model using 15 land use types and 8 soil types).

Figure 171. Use Case Architecture includes three layers: 1) Physical Infrastructure, 2) e-Infrastructure, and 3) VRE

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The D4Science/gCube-based VRE for mosquito disease study has been set up with the support from T7.1. The interfaces are shown in Figure 1. It provides a programming environment (shown in Figure 1, b), and it allows biodiversity researchers to develop and compile own/customised analysis algorithms using R, CLI etc. A researcher can decide to share his/her data, algorithms, or workflows by publishing it in the group area (shown in Figure 1, a) that enables social communications via  messages, comments, etc.

a. VRE area for sharing data, algorithms, and workflows

1. b. VRE area for developing an analysis algorithm

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2. VRE interfaces for mosquito disease study

Advantages

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.

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