World-renowned leading research institutes (e.g. ICES, IRD, FAO,) as well as Universities (e.g. Sorbonne University and University of Kiel) organise courses, workshop and hands-on meetings on topics related to the marine domain. The aim is to help scientists, at various stages of their careers, in acquiring necessary competences on topics related to stock assessment, oceanography and ecosystem approach to fisheries.

BlueBRIDGE aims at supporting these training activities by building tools to ”reduce trainers’ effort in preparing platforms for practical experimentation in courses organised by universities, institutions, and companies that require multidisciplinary data access, curation, and analytics. It is clear that the scope of this activity is wider than the marine domain. Every research institutes or universities can exploit the facilities offered by BlueBRIDGE.



The Scientific Training VRE in a nutshell

The scenario: 
This VRE provides an online dedicated environment to help to ease training courses.

-    Technological limitations
-    Change management

Scope/Thematic area: 
Scientific training environments

Short Description (high level):
Provide an online training environment that reduces trainers’ effort in preparing platforms for practical experimentation in courses organised by universities, institutions and companies that require multidisciplinary data access, curation and analytics, e.g. Ecosystem modelling, Vessel Monitoring Systems, Fisheries Management, Biodiversity Conservation & Geospatial Data Management.

Functionalities will depend on individual courses and the wishes of the instructors. For this reason, different VLabs will be created. Functionalities can include:

  • a workspace for sharing objects of interest,
  • a social networking area for supporting the discussions among members
  • a user management facility for managing membership
  • Data Analytics at Scale: a facility enabling users to benefit from the offering of the DataMiner service and interactively execute a large array of data analytics tasks on datasets. These algorithms range from data clustering and anomalies detection methods (e.g. DBScan and KMeans) to algorithms for manipulating datasets from the geospatial perspective (e.g. transform FAO Area Code in latitude and longitude)
  • Species Data Discovery: facility enabling users to discover and manage species data products (occurrence data and taxonomic data) from a number of heterogeneous providers (including GBIF and speciesLink for occurrences data, and ASFIS, BrazilianFlora, CatalogueOfLife, IRMNG, IT IS, NCBI, WoRDSS, WoRMS for taxonomic data) in a seamless way. Once discovered, objects can be stored in the workspace for future uses
  • Geospatial Data View: facility enabling users to discover and visualize GIS layers, e.g. species distribution maps, Sea Surface Temperature, that have been generated and/or published. This facility relies on the GeoExplorer portlet and makes it possible to effectively exploit the generated maps and perform comparisons and analysis of the diverse distributions by enabling maps overlay, transects production and values inspection
  • etc.

Direct beneficiaries: 
Course participants, course instructors for Universities, Research institutes, Intergovernmental organisation concerned with marine and fisheries science and companies.

Expected Outcomes: 
  • Resource savings (reduced time to set up training environements  & reduced costs)
  • Increased number of training courses

Where to access:


Click here to find out more about the VREs that have been released so far