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Welcome to EDITO!

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Updated over 3 weeks ago

Context


The European Digital Twin Ocean is a virtual representation of the real ocean, continuously updated with real-world observations, models, data science, and artificial intelligence. It allows users to:

  • Visualize and explore ocean knowledge, data, models, and forecasts.

  • Interact with the digital twin to run “what if” scenarios, supporting decision-making and highlighting areas needing better observation.

  • Improve understanding of the ocean and inform decisions, supporting ocean literacy and research for a wide range of users, including researchers, professionals, educators, and the public.

EDITO provides tool to explore and build the European digital twins of the Ocean. The main challenge is to allow anyone to generate data that have never been generated before. To do so, it focuses on three levels of interaction: the services, the processes and the data. All of them are backed by API and graphical web interfaces, can seamlessly interact internally or easily integrated with external resources.

EDITO services, processes and data


Service

A service is an interactive application (serving API and/or a graphical web interface). It can be a data science tool or an end-user application (decision making applications, What-If applications or focus applications) dedicated to anyone or to a specific community of users.

Process

A process is a remote function that generates data, such as data transformation, pre/post-processing, reanalysis, forecasts, detections, What-If scenarios, quality controls. It can be piped, scheduled, or triggered on-demand. Its inputs and output locations can be configured at runtime. In opposite to a service, it is not interactive during execution (it does not host a web server or UI).

Data

Data are both metadata and data assets (the actual data). Metadata can reference data assets hosted in EDITO internal storage or reference data assets hosted in external infrastructures. Metadata can also contain links to processes that generate the data assets. This enables (software-)asset materialization, i.e. the on-demand generation of assets that have been previously defined in metadata but never created, fulfilling the digital twin challenge.

What's next?


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