PROJECT

PHIDIAS

PHIDIAS is creating access services to increase the High-Performance Computing (HPC)

and data capacities of the European Data Infrastructure in the context of the Connecting European Framework (CEF) on Open data.

USE CASES

PHIDIAS

Intelligent screening of satellite data

Improve efficiency and genericity of the intelligent screening of environmental satellite data for detection and identification of anomalous atmospheric composition events.

OCEAN

Improve the use of cloud services for marine data management, service and processing, considering the EOSC challenge and the DIAS.

Big data earth observation

Enhance the EO data processing chains scalability for environmental monitoring from the end-users needs of THEIA land data centre network.

GOALS

PHIDIAS

01

Building a prototype

Develop a catalogue that will allow users to discover and access data, open-source software, public Application Programming Interfaces (APIs) and interactive processing services. This catalogue will implement interoperable services for the discovery, access and processing of the data, and be connected to other major data repositories such as the European Data Portal, the Global Earth Observation System of Systems Portal (GEOSS), the Next Global Earth Observation System of Systems Portal (NextGEOSS), and the European Open Science Cloud (EOSC).

02

Optimising and industrialising

Optimise and industrialise workflows to allow the largest degree of reusability of data as possible, in compliance with the INSPIRE directives and ensuring interoperability with the EUDAT (European Data), EOSC, and IS-ENES (Infrastructure for the European Network for Earth System Modelling) portals and generic services.

03

open access

Implement an end-user web common interactive processing service based on notebook and data cube technologies allowing new users to easily have access to HPC capacities and develop new algorithms.

04

FAIRisation

Improve the FAIRisation of satellite and environmental datasets and preserve FAIR (Findable Accessible Interoperable Reusable) datasets into a Remote Data Access (RDA) certified repository.

05

Data pre-processing

Develop new data pre-processing models coupled with HPC capabilities, by building a new and innovative on-the-fly computing service for smart processing of data, addressing the problem of efficient filtering and on-the-fly first diagnostics on incoming in-situ data.

06

Data post-processing

Deploy data post-processing methods as a service for several end-users, including scientific communities, public authorities, private entities and citizen scientists.

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