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Trusted data exchange across sectors

secure | sovereign | scalable

Our Inter-sectoral Dataspace Toolkit breaks down industry verticals by enabling decentralised and secure data exchange for the development and 
management of complex 
apps

The DS2 solution will be co-designed, developed and tested across 3 inter-sectoral use cases  in the domains of Urban Planning, Air Pollution, and Precision Agriculture

Cross-sector innovation

The DS2 Story

Our Mission

The rise of smart technology and intelligent decision-making positions us at the forefront of a revolutionary era, enabling personalized services and seamless experiences.

Facilitating this transformation is the dataspace—a dynamic virtual environment that connects and integrates data sources for effortless access and use within a specific industry.

However, true innovation requires cross-sector collaboration. Introducing DS2, an initiative developing Europe's first modular infrastructure to connect diverse dataspaces.

Join us as we drive the controlled discovery, analysis, recommendation, and configuration of data connectivity across domains, while maintaining sovereignty and security.

Advancing Dataspace
Innovation

Before DS2

Several manufacturing entities, including SMEs, operate in an industrial ecosystem producing eV charging products for use and installation by both consumers and public institutions. The need and thus production of these is influenced by sales from manufacturer car dealerships as well as public policy on charge point installation.

This ecosystem aims to improve by ensuring chargers are placed correctly, gathering feedback from users, clients, and institutions, and collecting charging and usage data valuable for installations and electricity supply companies. While data flows include production, fault, usage, and human feedback, the question remains: is it optimal?

 

Is there more to learn from the data to influence opportunities or contribute to effective charging deployment and environmental initiatives? Achieving this cooperative stage required years of discussions on data sharing, ownership, format understanding, cross-border deployments, linguistic aspects, and human feedback integration. Different GDPR interpretations raise questions about data ownership and permission for alterations.

Challenge

Achieve an adopted environment which is generic, well perceived, economic, and basically one which is attractive to all the entities eg. car dealership, public institutions, users etc. by resolving their data networking and sharing problems. 

 

It needs to address rules and governance, data management and control; technical aspects such as data formats and transformation; orchestration of data from one point to another; and ensure that data (structured or fuzzy) can be onboarded, processed, and shared and where the data may come from application, devices, via humans (or where human insight is needed).

After DS2

Three SMEs download the DS2 trial system, noting it includes core modules they can pick-and-mix. The modules cover data curation, transformation, and flow orchestration, among others. They are particularly interested in the data risk and sovereignty tools due to regulatory concerns.

SMEs install the product easily, thanks to the containerization mechanism. They note the holistic modules with a consistent style. They use the Discover and Assess module with a chat assistant to assess their data. Meanwhile, the IDT discovers other IDTs.

With proper access and security, they see three partner IDTs, one having completed the discovery phase and exposed data sets. They use the recommend and configure module/chat system to compare their situation with the partner and resolve format issues.

IDT configures itself and the underlying modules by asking necessary questions. The background language module facilitates cross-border sharing. Proven data can now be shared, compliant with general and partner-specific governance/rules, using several modules for filtering and transformation.

DS2 Impact

The DS2 framework will strictly adhere to the FAIR principles for data access. The framework has been designed to address data sovereignty, interoperability, and protection safeguarding the  interests of European SMEs and also the public sector as data  providers. It is anticipated that at least 10 open-source tools will be created addressing these topics.

Call Expected OUTCOME #3

 

DS2 partners (VTT, DIGI, ITC, ATIT) have strong expertise in  developing and successful deployment of data spaces in ongoing Horizon 2020 and Horizon Europe projects. DS2 provides an excellent environment for its  experimental deployment and  further improvement of its capabilities and performance.

Call Expected OUTCOME #2

 

DS2 envisions demonstrating the ability to process at-least 10TB data representing different industrial sectors in the four use cases through the deployment of 3 existing data spaces and 2 

newly created data spaces during the project lifetime.

Call Expected OUTCOME #1

Our Results

Us in Numbers

17

Consortium Partners

4

Use Cases

+7M 

Total Budget in Euros

36

Project Duration in Months 

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