Intelligent services and data science methodologies for the JIIM and the VA e-infrastructure
2023
Marini, Simone | Delory, Eric | Blandin, Jerome | Lefebvre, Alain | Martinez, Enoc
This report describes the enabling data science methodologies for the innovative observation services and systems developed within the JERICO-S3 project. The information presented in this report enables the interpretation and modeling of relevant biological and ecological processes based on the data produced by the innovative sensors experimented within the JERICO-S3 project. After the introduction of the main targets of the technology innovation activities within the JERICO-S3 project, the report provides in section 3.1 a short description of the coastal EMSO Generic Instrument Module (cEGIM), focusing on the high level characteristics that allow the execution of the intelligent services. Then, in section 3.2 the data processing capabilities of the JERICO-S3 partners in the analysis of biological, physical and ecological data are presented. In section 3.3 the intelligent services are specified comprising the data processing algorithm, the logic enabling the adaptive data sampling, based on the output of the data processing algorithm and the data transfer and visualization pipeline. Section 3.4 summarizes the dissemination activity related to the WP7 outcome.
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