Access to Open Data platforms

Online environment to enable standardized data access.

Provided by:
Research area:
Dedicated for:
Researchers, Research group
(0.0 /5) 0 reviews

Access to Open Data platforms: a group of services to enable standardized access to data.

a. IT Managers can deliver VREs enabling effective discovery and access to heterogeneous data platforms; b. Data Managers can easily enable data workflows operating on heterogeneous data platforms; c. Individual scientists can easily discovery, access, and use heterogeneous data platforms by exploiting single sign-on and transparent policy and license management; d. Scientific Advisory working group (user group) empowers working groups with a simple-to-use rich data catalogue populated with a wide spectrum of data generated and maintained by different data platforms. The service is widely used by the members of the following VREs:Biodiversity Lab,ScalableDataMining,TabularDataLab,Aquaculture Training Lab,InfraTraining,SustainableBlueEconomy,Blue Datathon,DRuMFISH,ICES_BNetworkAnalysis,ICES_DALSA - ICES Trainign Course on Data Limited Stock Assessment,ICES_DASC - ICES Training Course on Design and Analysis od Statistically Sound Catch Sampling Programmes,ICES_FIACO - ICES Trainign Course on Principles and Methods of broadband/wideband technologies: application to Fisheries Acoustics,ICES_FIACO2017 - ICES Trainign Course on Principles and Methods of broadband/wideband technologies: application to Fisheries Acoustics,ICES_AbundanceEstimationFromAcoustic - ICES Training Course: Introduction to abundance estimation from fisheries acoustic surveys,ICES_IntroStockAssessment - ICES Training Course: Introduction to Stock Assessment,ICES_IntroToREnv - ICES Training Course Introduction to the R Environment,and more.

Places and languages
  • World
  • English
Service Availability
Service phase
  • Production
  • 3.0
Last Update
  • 16.10.2020

The EOSC portal is been jointly developed and maintained by the EOSC-hub, eInfraCentral and OpenAIRE-Advance projects funded by the European

Union’s Horizon 2020 research and innovation programme with contribution of the European Commission

2018 EOSC Portal