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
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 4.0MediaMobility / AutomotivePublic SectorSecurity and Law EnforcementSkills and EducationSmart CitiesSmart LivingSpaceTelecomTourismOther
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 and/or frameworks:*

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/iSHARE
The iSHARE Trust Framework serves as an advanced solution for facilitating seamless business data sharing among organisations. It offers a wide and comprehensive set of specifications and agreements addressing legal, functional, operational, and technical dimensions. This ensures robust governance, interoperability, and trust among participants, catering to their diverse organisational data-sharing requirements.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.
- Business Case Pattern*
  
  Shared Cost
  "Shared cost" refers to ecosystem members' interest to share data to cope with a shared requirement such as compliance, process efficiency, transparency. Every member saves money and time by sharing the burden.Joint Innovation
  "Joint innovation" refers to the understanding that customer innovation can only be realized by ecosystem members working together as no single ecosystem member has all the necessary data.Combined Forces
  "Combined forces" refer to ecosystem members' interests to team up to prevent monopolies from emerging because no single ecosystem member has the necessary resources and commitment to do this alone.Shared Marketplace
  "Shared marketplace" refer to ecosystem members' interests to team up to provide quality-assured, easy access to data of a domain of common interest (e.g. open data, business partner data). Transaction costs go down for all ecosystem members.Greater Community Good
  "Greater Community Good" refers to the interests of public and private sector entities to share data for a greater common, societal goal (e.g. climate protection).Other
- Available Datasets
  How many datasets are there available in your data space (if possible to share)? Please input numerical values only
- Legal and Governance aspects
- Please specify the names of legislations and/or policies regulating data sharing that are applicable to your initiative (For example: the Data Act in the EU; APPI in Japan etc.)
- Please select your form of organizational governance
  
  Project Grant AgreementCoalition agreementBi/multilateral contractsOther
- Operational aspects
- Please indicate the total amount of funding you have received to support your data space
  Please input numerical values only
- Main sources of funding*
  
  Private fundingGovernment fundingEU fundingOther
- Please select the source of the EU funding you have received
  
  Digital Europe ProgrammeHorizon 2020/EuropeOther
- Please indicate the amount of EU funding you have received to support your data space
  Please input numerical values only
- Please select the private source(s) you have received
  
  Investment by data space participantsAngel investorsVenture capitalPrivate equity fundsCrowdfundingOther
- Please indicate the amount of Private funding you have received to support your data space
  Please input numerical values only
- Please specify the name of the governmental funding programme(s)
- Please indicate the amount of Governmental funding you have received to support your Data Space
  Please input numerical values only
- Access*
  
  Open (Access is open to anyone who wants to join)Closed (Access is restricted to a limited group or there is a selection process involved)Free (Access to the data space is free of charge)With a fee (There is a fee charged for access to the data space)Other (Data Spaces policies and rules)
- Functional aspects
- Data Interoperability
- Which building block are you deploying in your data space for data interoperability? You can select more than one options*
  
  Data Models and Formats
  This building block allows 1) the interchange of data by providing the information about the shared data structure, 2) the systematic and automated publication of data assets by providing accurate descriptions of their structure, 3) systematic and automated search by using standardized data structure descriptions, 4) data integration and mapping of data elements from different sources by using a common vocabulary, and 5) future-proofing and extending unified information models to accommodate new data elements, relationships, and attributes as the domain or industry evolves. See draft description in the DSSC platform.Data Exchange
  To enable data exchange between participants within a data space and across data spaces, some agreed data exchange protocols are needed. This Building Block will propose the optimized set of protocols to maximize interoperability in a particular Data Space. See draft description on the DSSC platform.Provenance and traceability
  Especially Data Spaces with highly regulated data, it is necessary to make the data sharing process observable. This can be done for legal reasons to prove that data has been processed only by authorized entities, or for business reasons to provide a marketplace and billing function through a trusted third party. Observable data is important for ensuring that data is being used in a way that is consistent with the contractual arrangements and governance frameworks. See draft description on the DSSC platform.Other
- 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
- 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
- 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
- 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
- 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
- The Dataspace Protocol is a detailed set of rules designed to facilitate seamless data sharing between data space components and participants. The Dataspace Protocol ensures trust and interoperability, defining the needed schemas and protocols for cataloging data, negotiating contracts and usage agreements within a data space.
  
  For more information on the Dataspace Protocol visit here.
  
  For a detailed up-to-date list of Data Space Connector that are implementing the Dataspace Protocol, check out the Data Space Connector Report
- Have you adopted or are you planning to adopt the Data Space Protocol (DSP)?*
  
  Already adoptedPlanning to adoptConsidering / undecidedNot planning / Not applicableOther
- Which Data Connectors are currently in use?*
- Which federated services are currently in use?
- 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.
- Also have a solution for data spaces? Considering submitting it into our Solution Landscape or to the DSSC Toolbox
  
  We use your data exclusively in accordance with our privacy policy.
  
  The data collected in this tool is additionally made available under a
  Creative Commons CC-BY-NC-ND license, version 4.0.
  
  Imprint
- Should be Empty:

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