Join the Data Spaces Radar

Join the Data Spaces Radar
General information

Preliminary Information
Are you submitting a Data Space or a Use Case to the Radar?*

Data SpaceUse Case
Is the use case a part of an existing Data Space?*

YesNo
DSSC Community of Practice (CoP)

The CoP is a collective of organizations, project consortiums, and networks within the Data Spaces Support Center (DSSC), collaborating to develop and implement data spaces across various sectors. Check this box if you are already part of the CoP.
What is the name of the data space?*
Please take a moment to review the Radar and confirm whether your Data Space is listed. If it's not, we highly encourage you to consider adding it! Your contribution will then be displayed in greater detail.

If your data space is already listed, that's fantastic news! Just make sure to replicate the name exactly as it appears on the radar. This simple step helps us establish a link between the two and provides your Data Space with enhanced visibility.
Contact Information

Provide the following information about the contact person for this entry:
Full Name*
E-Mail*
example@example.com
Organization
General details
Name*
Include the name of your Data Space/Use Case initiative and its acronym if applicable.
Headline*
Provide a one-sentence summarized description of your initiative
Challenge*
What business opportunity or challenges do you attempt to address with sovereign data sharing?
Solution/Success*
How does your Data Space/Use Case address this challenge or opportunity?
Website
Please provide the URL of your initiative's website
In which sectors are you active?*

Agriculture / AgrifoodCultural HeritageEnergyFinanceGeoinformationGreen Deal / Circular EconomyHealthLanguageLogisticsManufacturing / Industry 4.0MediaMobilityPublic SectorSecurity and Law EnforcementSkills and EducationSmart CitiesSmart LivingSpaceTelecomTourismOther
Lifecycle Stage

ExploratoryPreparatoryImplementationOperationalScaling
In which development stage are you with your data space initiative?*

Exploratory
The development stage in which a Data Space initiative starts. It is typical for this stage that a group of people starts to explore interest, potential and viability of a data space in a given domain or data ecosystem. The exploratory activities may include, among others: gathering interested stakeholders, collecting requirements, discussing use cases or reviewing existing conventions or standards.Preparatory
The stage in the development of a Data Space initiative that starts when there is a critical mass of committed partners of the initiative collaborating on the joint development of the Data Space and use cases.Implementation
The stage in the development of a Data Space initiative that starts when there is a sufficiently detailed project plan, milestones and resources (funding and other) for a data space pilot. The roles of the organisations involved in the Data Space pilot and the value created for each role are also clearly identified.Operational
The stage in the development of a Data Space initiative that starts when an initial tested implementation and governance framework of the Data Space exists, and the first data space use case becomes market-ready (with data flowing between members and use case providing the intended value)Scaling
The stage in the development of a Data Space initiative that starts when it has proven to consistently and organically gain new members and new use cases. It is adopted by a market as a viable solution and demonstrates sustainability and stability (financially and operationally). The Data Space can respond to market changes, adapt to them, and grow.
Please describe in more detail the activities you are currently working on within your stage.

0/500
Start Date of the Initiative

DayMonthYear
Duration of the initiative (if applicable)
The purpose of this indicator is to understand if the data space has a fixed duration or not. Primarily focused on preparatory and deployment actions, not fully operational data spaces. Please provide your input in number of months.
Geographical Focus*
Countries
Partners
Reference Architecture*

Gaia-X
The Gaia-X Architecture enables Data and Infrastructure Ecosystems using the elements explained in the Gaia-X Conceptual Model, the Gaia X Operational Model and the Federation Services together with the Gaia-X Trust Framework. Gaia-X proposes to structure a Data Ecosystem and an Infrastructure Ecosystem, each with a different focus on exchanged goods and services. There are the basic roles of Consumer, Provider, and a Federator who appears as a connecting layer, offering diverse core Federation Services to provide connections between and among the different elements as well as between or among the different Ecosystems. Source: Gaia-X Architecture Document - 22.04 ReleaseIDSA
Focusing on the generalization of concepts, functionality, and overall processes involved in the creation of a secure “network of trusted data”, the IDS-RAM resides at a higher abstraction. It provides an overview supplemented by dedicated architecture specifications defining the individual components of the International Data Spaces such as Connector, Broker, App Store, etc. in detail. Source: IDSA Reference Architecture Model V.3 April 2019FIWARE
FIWARE brings a curated framework of open source software platform components which can be assembled together and with other third-party components to build platforms that support the development of Smart Solutions faster, easier and cheaper. The main and only mandatory component of any “Powered by FIWARE” platform or solution is a FIWARE Context Broker Generic Enabler, supplying a cornerstone function required in any smart solution: the need to manage context information, enabling to perform updates and bring access to context. Listings of many FIWARE Ready devices and commercial “Powered by FIWARE” solutions can be found on the FIWARE Marketplace. Specific architectures are available per domain showcasing how to use the FIWARE components in specific application domains, as for example Smart Cities, Smart Agrifood, Smart Industry or Smart Water. Source: https://www.fiware.org/catalogue/DSBA
Data Spaces Business Alliance (comprised of BDVA, FIWARE, Gaia-X, and IDSA) have published the ‘Technical Convergence Discussion Document’ that defines a common reference technology framework, based on the technical convergence of existing architectures and models, which leverages mutual infrastructure and implementation efforts.Other
Use Cases Information

In this section, you have the opportunity to delve into specific use cases associated with your Data Space. The details you provide will be showcased both within your 'Data Space' entry and as distinct 'Use Cases' on the radar!
Do you wish to provide information regarding use cases as well?*

YesNo
Describe each use case briefly, and feel free to add as many as you need using the designated button.

Expand this section if you wish to provide greater detail about your data interoperability building blocks
How do you handle the semantics in your Data Space? Are you working according to a specific data model or format?

500 character(s) maximum. 0/500
Do you specify certain APIs for the users in your Data Space? How do they relate to the semantic models indicated in the building block for Data Models & Formats?

500 character(s) maximum. 0/500
Do you monitor transactions in your Data Space? How do you ensure provenance & traceability between partners?

500 character(s) maximum. 0/500

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Data sovereignty & trust
Which building block are you deploying in your Data Space for data sovereignty & trust? You can select more than one options*

Access & usage policy and control
Technical enforcement of access and usage policies and creating a proof of enforcement. See draft description on the DSSC platform.Identity Management
Identity Management refers to the capability within a Data Space to register, maintain, and use information about various kinds of entities that are relevant to most, if not all, members of a data space. See draft description on the DSSC platform.Trust
A Trust Framework refers to a set of common agreed rules, standards and technological enablers, with the purpose of establishing trust among the Data Space participants, allowing them to exercise sovereignty over the data they share while enabling secure and privacy-preserving data sharing. See draft description on the DSSC platform.Other

Expand this section if you wish to provide greater detail about your data sovereignty & trust building blocks
How do you define access and usage rights to data? How do you enforce this?

500 character(s) maximum. 0/500
Which objects require identity management in your Data Space? What kind of mechanism(s) are you using to do this?

500 character(s) maximum. 0/500
How do you verify that someone is participating in a Data Space? Which technologies/approaches do you use for this? Are you able to verify other aspects than identity?

500 character(s) maximum. 0/500

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Data Value Creation
Which building block are you deploying in your Data Space for data value creation? You can select more than one option*

Data, Services and Offerings descriptions
The central action performed in Data Spaces is to exchange data between participants. Additionally, data-driven services are provided. Participants take the roles of providers or consumers. Providers need to describe their data or service offerings to enable consumers to find out what is available for consumption. See draft description at the DSSC platformPublication & Discovery
Publication and Discovery services play an intermediary role in a Data Space, orchestrating data transactions between Providers and Consumers. Implemented as a single central Catalogue or a network of multiple decentral Catalogues, it is the repository of a Data Space that enables Data Space Participants to find other Participants’ information and service offerings that are stored inside the Catalogue as Self-Descriptions. See draft description at the DSSC platform.Marketplaces & usage accounting
The overarching objective of this building block is to generate value out of sharing of data among participants in the Data Space, through marketplace functionalities delivered on top of the catalogue developed in previous building blocks of this pillar. In a nutshell, the marketplace helps customers to discover available data products and support the procurement process, as well as monetization of those data products. See draft description at the DSSC platform.Other

Expend this section if you wish to provide greater detail about your data value creation building blocks
How do you describe entities in your data spaces, e.g. data, data-services or data processing services? Do you use a specific meta-model for this? Are you able to link this to other elements, such as access and usage policies?

500 character(s) maximum. 0/500
How do you publish self-descriptions in your Data Space? Do you offer a catalogue? How can participants find/discover data, offerings and services in your Data Space?

500 character(s) maximum. 0/500
Do you support market place functionality? Are you able to perform usage accounting e.g. for billing or traceability purposes?

500 character(s) maximum. 0/500

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What Data Connectors are in use?
What federated services are in use?

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Join the Data Spaces Radar

General information

Preliminary Information

Contact Information

General details

Use Cases Information

Legal and Governance aspects

Operational aspects

Functional aspects

Data Interoperability

Data sovereignty & trust

Data Value Creation