Call for papers: second international workshop on semantics in data spaces

aiXia

aiXia" which will be led by LANTEK (digital services) together with the companies LIS SOLUTIONS | S.L. (data analytics and ai services) | INGETEAM, S.A.(energy) | GOIZPER S.COOP. (machine-tool industry) | MONDRAGON ASSEMBLY S.COOP. (manufacturing) | UBIKARE ZAINKETAK, S.L. (healthcare) | EROSKI S.COOP (retail) | The technology coordinator is IKERLAN (a leading knowledge transfer center providing competitive value to companies)

SUCCESS:

Seeks to promote and research the necessary technologies for the definition of a reference architecture, operational models, adoption of standards and developments for a data space based on the common technical framework proposed by DSBA members, extending its main services to favor the development of artificial intelligence with guarantees of traceability, security, and governance of the data and services.

BENEFITS:

Aims to provide the country with a reliable data space that enables companies to offer new concepts of high-added value services based on data sharing, through the servitization of collaborative artificial intelligence for the productization and monetization of their data and industry knowledge in new business models.

COMPONENTS:

Will develop new services in the field of artificial intelligence and will explore current IDS components implementations (focusing on Connectors, Metadatabroker, and IdentityProviders) in order to select one of them to rely on.

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The Data Spaces Radar #3

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MONDRAGON ASSEMBLY EGOKIA

MONDRAGON ASSEMBLY - an international firm specializing in the development of automatization and assembly solutions for various sectors. It operates 6 production plants around the world and is part of the largest cooperative group in the world | IKERLAN Technical research center and member of IDSA

CHALLENGE:

EGOKIA solution allows collaborative learning and knowledge sharing between geographically distributed plants, integrating headquarters in Basque Country and domain experts. Thanks to the data space, data, and AI assets can be securely shared throughout different corporate sites and a new knowledge-based economy emerges.

SUCCESS:

Deploys an architecture based on IDSA connectors, linking Mondragon Assembly’s data and AI platforms from different corporate sites. With this new reliable data space, we extend the lifecycle of artificial intelligence models, enhance their capabilities, and facilitate trusted access and use of its assets by EGOKIA participants.

BENEFITS:

NEW BUSINESS MODEL: A new business model based on AI services and a knowledge-based economy. RELIABLE AI SOLUTIONS: A "standardized", flexible, and secure solution to break data silos to share and complete AI assets and processes between trusted organizations and production plants. Measurable benefits can be listed as: Up to 30% quality on models thanks to the application of federated learning techniques, reduce inversion and time to market on IA-based solutions or lower communications loads. STANDARIZED DATA SPACE – The organization is ready to take part in the knowledge economy with other entities, domain experts, and technology providers.

COMPONENTS:

Data Space connectors 8.0.2 Metada Broker 5.0.3 Identity Provider 1.6.0

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Gaia-X4KI – A sovereign data and service ecosystem for artificial intelligence in automotive development, production, and operation

Autonomous driving scenarios and the industrial production of required devices face a broad range of challenges related to data sovereignty and security. In particular, transfer of large, sensitive files and services in a policy-conform way are addressed in the prototypes.

SUCCESS:

The solutions are cloud-based and are embedded in existing industrial cloud landscapes to enhance data sovereignty of participants in complex data exchange relations.

BENEFITS:

Gaia-X4KI connects various stakeholders and their diverse system landscape from the complete autonomous driving development lifecycle.

COMPONENTS:

Eclipse Dataspace Components (EDC) and EDC MVD including Connector, Federated Catalog, Identity Hub, Registration Service

PREREQUISITES:

The data space is currently in development and being tested inside the project. It bases on open source components.

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Introduction

IKERLAN is a leading knowledge transfer technological centre providing competitive value to companies. We seek for excellence in R&D&i, thanks to the continuous adaptation to the needs of our customers and the proximity with the business reality. Faithful to our mission, we have been working daily since 1974 to develop solutions that allow our customers to become more and more competitive. We are a cooperative member of the MONDRAGON Corporation and the Basque Research and Technology Alliance (BRTA).

Business Expertise

Thanks to a unique cooperation model, which combines technology transfer activities, internal research and training of highly qualified personnel, IKERLAN is currently the trusted technological partner of major companies in the country. To meet our goal, we are structured into two technological specialization units:

ELECTRONICS, INFORMATION AND COMMUNICATION TECHNOLOGIES
ENERGY AND MECHATRONICS

IKERLAN is a center that is dynamic and open to the world. We are an accredited agent of the Basque Network of Science, Technology, and Innovation and of the Spanish Federation of Technology Centres. We have a major cooperation network integrated with renowned European centers and universities, with which we conduct activities of research and training of researchers.

Technical Expertise

Mission: To solve the technological challenges of the companies, improve their competitiveness and collaborate with the sustainable social and economic development of the environment, all of that from a position of technological leadership and with differential abilities in their areas of expertise.

Vission: Technological center, cooperative and non-profit, known as the European leader in its areas of specialization, with an exceptional cohesive human team, that provides value to the companies and society.

Contact Details

Santiago Charramendieta
scharramendieta@ikerlan.es

Website
https://www.ikerlan.es/

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Increased visibility of order delivery process

VTT | Wärtsilä | Uwira

CHALLENGE:

The use case revolves around expediting and enhancing transparency between a focal company of a manufacturing ecosystem (OEM) and its supplier in their production order management processes. The existing communication methods have proven inadequate in facilitating efficient and adaptable exchanges between the two entities. By facilitating transparency and fostering a more seamless integration between the IT systems of both companies, the management of product orders can be streamlined, resulting in heightened efficiency and a reduction in errors.

SUCCESS:

The objective is to facilitate a reliable and seamless flow of data between the OEM and its supplier by establishing a dedicated data space. The developed solution will be seamlessly integrated with pre-existing IT infrastructures of both companies and the solution is grounded in the framework of the IDS reference architecture.

The OEM can selectively disclose data from their production environment to the supplier without the fear of data leakages. Respectively, the supplier receives only the data that are essential for them and there is no need to locally extract meaningful insights and valuable information from big data sets.

BENEFITS:

The established data space solution has the potential to significantly enhance transparency between the OEM and the supplier. This gives rise to several potential benefits, including:
Effective Communication: Transparent communication helps in conveying accurate information about product specifications, requirements, changes, and timelines.
Risk Management: Sharing information about potential risks, such as changes in demand or design modifications, allows suppliers to proactively address these issues. Furthermore, in times of disruptions, such as supply shortages or unexpected market shifts, transparent communication helps both parties respond more effectively.
Cost Efficiency: Transparent communication allows both parties to work together to find cost-effective solutions.

COMPONENTS:

IDS connectors - serve as the communication interface linking the two companies and their existing IT systems. With IDS connectors, a data provider can define the rules and conditions (usage policies) under which data are shared with a data consumer.
DAPS - enables connectors to authenticate themselves using X.509 certificates. After successful authentication, the DAPS issues OAuth2 access tokens for connectors, who need these tokens to access the services and data of other connectors.
Metadata Broker— stores information about the data end-points offered by the participants. The broker provides a query interface for connectors and can hence be considered as the search engine in this use case.

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Show Use Case

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Making the Dataspace Protocol an international standard

This publication details the specification path of the Dataspace Protocol, a significant step towards standardizing data space interoperability.

Key takeaways

- Data Spaces: Digital environments designed for trusted data sharing and utilization, enabling efficient implementation of advanced services and solutions.
- International Standards: The publication underscores the critical role of international standards in providing organizations with the confidence to invest in new data space technologies.
- Dataspace Protocol (DSP): A standardized framework developed by IDSA to integrate key processes common to all data spaces, ensuring interoperability and trust.
- European Union’s Data Act: Set to enter into force in September 2025, this legislation will raise global standards for data flow and sovereignty.
- Standardization path of the Dataspace Protocol: The publication provides detailed steps of the standardization process and a status update

Strategic impact of the Dataspace Protocol

The Dataspace Protocol is poised to revolutionize data sharing, much like the Internet Protocol (IP) and GSM standards did for the internet and mobile communications. The IDSA’s efforts in standardizing this protocol aim to unlock new opportunities for collaboration and innovation across various sectors.

The publication details the standardization path for the Dataspace Protocol, moving through development by the IDSA Working Group Architecture, handling by the Eclipse Dataspace Working Group, and final standardization by the ISO/IEC Joint Technical Committee 1.

This is a milestone in the journey towards a data-driven future, where data sharing is based on trust and data sovereignty. The IDSA’s commitment to international standardization sets the stage for a new era of data management and innovation.

Preview_Making the Dataspace Protocol an international standard

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Data Space Fundamentals

Name of training provider: Software Quality Systems (SQS)

About the course: SQS has been appointed as an Authorised Training Provider, and the first training course, “Data Space Fundamentals,” will be held in Madrid. This foundational course provides the core principles of data spaces and is considered essential for any professional before starting any of the three itineraries.

Course format: Instruction delivered by an ATP instructor, 8+2 hours, 2 days, student performance will be based on an official assessment to get the certification.

Prerequisites: No Requirements Training will be in English

Venue: Madrid City Centre

Class price: €400 (Official Exam not included)(VAT not included)

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Call for papers: second international workshop on semantics in data spaces

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aiXia

BENEFITS:

COMPONENTS:

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MONDRAGON ASSEMBLY EGOKIA

BENEFITS:

COMPONENTS:

Gaia-X4KI – A sovereign data and service ecosystem for artificial intelligence in automotive development, production, and operation

BENEFITS:

COMPONENTS:

PREREQUISITES:

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Introduction

Business Expertise

Technical Expertise

Contact Details

Increased visibility of order delivery process

BENEFITS:

COMPONENTS:

LEARN MORE:

Making the Dataspace Protocol an international standard

Data Space Fundamentals