IDSA InfoHub

What’s new with IDSA? This page contains the latest slides, images, and press materials for you to share with your community.

Social media assets & news

Mia takes control

IDS testbed communication kit

Minimum viable data space

DATA SPACES_ NOW! #8 | April 2023

The Data Spaces Radar

Version 1 | March 2023

The Data Spaces Radar

Version 3 | October 2023

IDSA_Anil Turkmayali_How to become a contributor to IDS

Anil Turkmayali: How to become a contributor to IDS Open Source?

IDSA_Anil Turkmayali_What is IDS Open

Anil Turkmayali: What is IDS Open Source?

IDSA_Silvia Castellvi_Design Principles for Data

Silvia Castellvi: Design Principles for Data Spaces

Christoph Mertens: Data spaces are reshaping industries

Sebastian Steinbuss: IDS RAM - blueprint for building data spaces

Sonia Jimenez Moreno: IDS Certification: the basis of trust

About the International Data Spaces Association (IDSA)

The International Data Spaces Association (IDSA) is on a mission to create the future of the global, digital economy. Its 130+ member companies and institutions have created the International Data Spaces (IDS) standard: a secure system of sovereign and trusted data sharing in which all participants can realize the full value of their data. IDS enables new smart services and innovative business processes to work across companies and industries, while ensuring that the control of data remains in the hands of data providers. We call this data sovereignty.

IDSA logo

IDSA Logo

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IDSA Logo

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IDSA Logo

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IDSA Logo

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IDSA Corporate Design

Manual Version 10 | August 2023

Photos

Lars Nagel IDSA

Lars Nagel

Chief Executive Officer

Thorsten Huelsmann

Chief Financial Officer

Sebastian Steinbuss

Sebastian Steinbuss

Chief Technology Officer

Christoph Mertens IDSA

Christoph Mertens

Head of Adoption

Tobias Prasse IDSA

Tobias Prasse

Director Marketing & Communications

Andreas Kembuegler IDSA

Andreas Kembuegler

Head of Marketing & Communications

Silvia Castellvi IDSA

Silvia Castellvi

Director Research & Standardization

Antoine Garnier

Antoine Garnier

Senior Consultant & Innovations Manager

Nora Gras IDSA

Nora Gras

Senior Communications Manager

Mario Holesch

Senior Consultant & Innovation Manager

Sonia Jimenez

Sonia Jimenez Moreno

Director Data Space Technology

Shani Tiran

Senior Consultant & Innovation Manager

Anil Turkmayali

Anil Turkmayali

Senior Project Manager

Olga Galanets

Olga Galanets

Senior Project Manager

Giullia Giussani IDSA

Giulia Giussani

Senior Digital Innovation Manager

Susanne Immel IDSA

Susanne Immel

Secretary of the Head Office

Sarusan Karunamoorthy IDSA

Sarusan Karunamoorthy

Administrative Assistant Back Office

Carlos Gonzales IDSA

Carlos González

Ecosystem Operations Manager

Antonia Kuster IDSA

Antonia Kuster

Digital Communications Manager

Nafiseh Shadman IDSA

Nafiseh Shadman

Graphic Designer

Anna Derevianko

Anna Derevianko

Membership & Administration Manager

Kateryna Kot IDSA

Kateryna Kot

Community & Project Manager

IDSA Teams

C-Level IDSA

Team C-Level

Team Leader IDSA

Team Leader

Team Administration IDSA

Team Administration

Team Adoption IDSA

Team Adoption

Team Technology IDSA

Team Technology

Team Marcom IDSA

Team Marcom

Team EU IDSA

Team EU-Projects

Most important documents

Image Brochure: International Data Spaces – Enabling Data Economy

September 2021

IDS Infographic: Data Sharing in a Data Space

March 2021

The Data Spaces Radar

Version 3 | October 2023

IDS Testbed

Plug - Test - Go!

IDSA-Cover-Design-Principles-for-Data-Spaces

Design Principles for Data Spaces

Position Paper 2021

To the position paper

IDSA Rulebook

Version 2 | 2023

To The IDSA Rulebook

IDSA Rulebook on GitHub

IDS Reference Architecture Model

Version 4.0 | 2022

DIN SPEC 27070

English Version

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

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.

LEARN MORE:

Show Use Case