Media assets

Discover our collection of press releases, key visuals, videos, team photos, and logos.

Press releases

IDSA Press Release | IDSA and iSHARE Foundation strengthen collaboration

IDSA Press Release | March 14, 2024

IDSA press release | IDSA drives Dataspace Protocol to release 1.0 in Eclipse governance framework

IDSA press release | ISO standard on data spaces officially registered

IDSA press release | IDSA announces formation of Eclipse Dataspace Working Group

Key visuals

Mia takes control

IDS testbed communication kit

Minimum viable data space

IDS Infographic: Data Sharing in a Data Space

March 2021

Senior leadership team

Lars Nagel IDSA

Lars Nagel

Chief Executive Officer

Thorsten Huelsmann

Chief Financial Officer

Sebastian Steinbuss

Sebastian Steinbuss

Chief Technology Officer

Sonia Jimenez

Sonia Jimenez Moreno

Director Data Space Technology

Silvia Castellvi IDSA

Silvia Castellvi

Director Research & Standardization

Christoph Mertens IDSA

Christoph Mertens

Head of Adoption

Tobias Prasse IDSA

Tobias Prasse

Director Marketing & Communications

Videos

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

IDSA logo

IDSA Logo

white | transparent background

IDSA Logo

white-cyan | transparent background

IDSA Logo

black-cyan | white background

IDSA Logo

Black

Most important documents

IDS Reference Architecture Model

Version 4.0 | 2022

IDSA Rulebook

Version 2 | 2023

To The IDSA Rulebook

IDSA Rulebook on GitHub

The Data Spaces Radar

Version 3 | October 2023

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

Design Principles for Data Spaces

Position Paper 2021

To the position paper

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