The EU Projects Zone Podcast: Omega-X with Javier Valiño

The EU Projects Zone Podcast: Omega-X with Javier Valiño

In this episode of the EU Projects Zone podcast, Areti Ntaradimou talks to Javier Valiño about data and the proposed concept and architecture of the Omega-X project.

Javier Valiño is the coordinator of the project and in this episode of the EU Projects Zone Podcast Series he is explaining the concept and objectives of the project.

Like, for example, the primary goal of the project’s reference architecture relies on deriving appropriate requirements for sound, secured and trusted data trading.

"Technology aside, the idea for us is to prove the benefits for everybody to share data, even if they are small data owners such as prosumers or large utilities," says Javier.

This is a much-needed operation since large amounts of valuable data are available in energy systems but are often underused.

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There is no single data platform, for example, connecting data from Europe's electricity sector's generation, transmission, distribution and consumption domains or across the various energy vectors – electricity, gas, heat, etc.

The barriers also imply the lack of proper mechanisms and policies that ensure secure, sovereign and fair data sharing according to the projects "manifesto".

Therefore, it makes sense that the EU Commission is looking for a single data market and projects like Omega-X are helping the commission achieve that goal. How?

The project is collaborating with other data spaces working on the same topic.

According to Javier, "we are collaborating with each other to maximize potential. We are always making sure that whatever we are doing is interoperable with whatever they are doing".

"Ultimately, in the following years, we will be testing how our data providers or service providers will be able to register, login, etc. on the other data spaces".

Listen to the discussion and find out also how Omega-X will help users achieve data sovereignty, the ability of a given actor (corporate or person) to act as self-determined for its own data.

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