Data Spaces and Data Circles

DIO invites stakeholders to develop Data Spaces and Data Circles to address industry-specific and industry-sector issues.

DIO Data Spaces

Working groups, data rooms and data circles help to look at data challenges in a concrete and domain-specific way.

Examples of Data Spaces:

Health data, art and culture, geodata, construction, financial data

Health data

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Agriculture and forestry






Geo Data





Smart City

DIO data circles

Examples of data circles: Neuro-oncology, health data in research, COVID-19 data, smart farming, road safety.
Become part of an existing data circle and/or start a new one with us.

COVID-19 Data


Traffic Safety


People with reduced mobility


AI Training Data


Logistics & Resilience


Energy industry


Data circle in application

Stakeholders in the data circle Mobility of persons, 2019.

Exemplary representation of a possible data circle

Questions about data circles

When people talk about data trading, the following questions sometimes arise:

How can my company, how can my business benefit from it?
How do I get a reliable technology solution?
What is the value of my data and who are the demanders anyway?
What data could I access?
How is it filtered and secured?
What is the cost of this data?
Where would it be profitable?
What effort do I need to put into my business?
What is data sovereignty?
How is it secured?
What are the first steps?

The Association for the Promotion of the Data Economy and the Optimization of Data Technologies cordially invites its stakeholders to answer these questions in Data Circles).

The results of the lead project “Data Market Austria” make it possible for data demanders and providers from a business sector, industry sector or other application field to exchange and trade their data in a clearly delimited space called Data Circle. Technologically, for example, a “mobility”data circle combines data from multiple sources to build and offer sustainable online services on top of it and conduct this data trade while maintaining data sovereignty by the data owners.

DIO invites working groups to develop data circles to solve industry-specific and industry-sector problems.

The goal is to build the exchange and trade of multiple data sources and services in such a way that sustainable value creation and individual business profit can be achieved.

The goal of the future data circles in this working group is to enable and substantially accelerate the implementation of exchange and sharing of anonymized and pseudonymized data for research and technology development. The strategy of the working group is to establish focused data circles that implement use cases that span the chain from data acquisition to analysis to use. In addition to identifying and developing solutions to existing barriers, data circles will develop reusable blueprints for rolling out to similar domains. This “bottom-up” approach ensures that the work is user-driven and relevant, ensuring involvement from physicians to patients. In this way, initial lighthouse projects will clearly demonstrate the benefits for the Austrian health, technology and research landscape.