top of page

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

Our Mission

The rise of smart technology and intelligent decision-making positions us at the forefront of a ground-breaking era where we can truly create personalised services, and seamless experiences.


Facilitating this new world is the dataspace - a dynamic virtual environment weaving together interconnected and interoperable data sources for effortless access, sharing, and utilisation within a specific industry.

However, to truly unlock life-changing innovation, collaborative efforts are needed across sectors. Enter DS2, a new initiative developing Europe's first modular infrastructure for connecting diverse dataspaces.


Join us as we fuel the controlled discovery, analysis, recommendation, and configuration of data connectivity across domains and contexts by integrating common structures while preserving sovereignty and security.

The DS2 Story

Advancing Dataspace

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 is also looking to improve so that it has: The right chargers at the right places; Getting feedback information from users, clients, institutions etc; Charging and usage data which can be useful for installs and electricity supply companies. In short, there are many entities, many interconnections, and a wide range of data from production data, fault data, use data, human data such as feedback. To an extent this is flowing– but is it optimal?


Is there more than can be learnt from the data to influence opportunities or to contribute to anything from more effective charging deployment to green-loading the environment? Moreover, to even get to this cooperative stage it has taken years in discussion about what data is shared, who has it, how are formats understood, what about deployments in other countries re linguistic aspects, and how can human feedback be more understood and influence the system. What of all the regulations that are understood in different ways re GDPR? and who exactly does own the data if it is changed or gives permission if it needs to be altered? Surely there has to be a better way to cooperate and share data beyond the piece-meal approach of today?


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

3 SMEs round up to download the DS2 trial system. They note it comes with a set of core modules and are not sure if they need all of them, but they can pick-and-mix as they go.  There are modules for curating data, transforming it, and orchestrating data flows amongst other. They also note the is a data risk and sovereignty tools – that sounds interesting since everyone is concerned about making sure they adopt the right approaches to regulation. 

Each SME installs the ‘product’ which goes well, they have different environments, but the advertised containerisation mechanism seems to make deployment a breeze and when they active it they note that all the modules are holistic, same style, similar approaches so it looks like a seamless system. The first thing they do is to use the Discover and Assess module which has an innovative chat assistant which asks questions about their data (technical, societal…) to discover their situation and finally to assess it.  In parallel, the IDT discovers other IDTs.

With appropriate access constraints and security, they can already see the three partner IDTs and in fact sees that one partner must have completed the discovery phase and exposed data sets. So, they try the recommend and configure module/chat system which then compares what is their situation (technical, GDPR adoption etc) with the partner and see there are some issues on format which in turn it helps resolve.

IDT configures itself and the underlying modules asking further questions as necessary. The language module was used in the background which can facilitate cross-border sharing. Proven data can now be shared between them all compliant with general and partner specific governance/rules and by utilising several modules to do 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


(coming soon)


(coming soon)


(coming soon)

Our Results

Us in Numbers


Consortium Partners


Use Cases


Total Budget in Euros


Project Duration in Months 

bottom of page