SeaDataCloud

SeaDataCloud: Further developing the pan-European infrastructure for marine and ocean data management

MBP Project leader: dr. Branko Čermelj

Lead Partners: IFREMER - Institut français de recherche pour l'exploitation de la mer and zasebno podjetje MARIS B.V., a private company

Code: H2020-INFRAIA-2016-2017

Duration: 1.11.2016 - 31.10.2020

The SeaDataNet pan-European infrastructure has been developed by NODCs and major research institutes from 34 countries. Over 100 marine data centres are connected and provide discovery and access to data resources for all European researchers. Moreover, SeaDataNet is a key infrastructure driving several portals of the European Marine Observation and Data network (EMODnet), initiated by EU DG-MARE for Marine Knowledge, MSFD, and Blue Growth. SeaDataNet complements the Copernicus Marine Environmental Monitoring Service (CMEMS), coordinated by EU DG-GROW. However, more effective and convenient access is needed to better support European researchers. The standards, tools and services developed must be reviewed and upgraded to keep pace with demand, such as developments of new sensors, and international and IT standards. Also EMODnet and Copernicus pose extra challenges to boost performance and foster INSPIRE compliance. More data from more data providers must be made available, from European and international research projects and observing programmes.

Specifically, the project aims to:

Improve the performance of data access services by utilising a cloud environment with high performance computing
Provide online services to visualise and process data, in order to preview, subset, format, or analyse data of interest
Apply and fully exploit the opportunities of the Linked Data concept as part of the semantic web to improve the discovery services
Provide customised services (MySeaDataCloudservices) to each user, to let the user save his/her search profile, receive alerts of new available data, and to ingest and manage their own data sets, complementing existing national arrangements with data centres
Provide a Virtual Research Environment (VRE) to facilitate collaborative and individual research by users , by configuring and operating workflows of processing services, selected data and ingested own data, to generate value-added data products and visualisations