Archived documents

You’ll find our past documents and information about IDSA’s work and partner projects here.

About IDSA

Image Brochure: International Data Spaces – Enabling Data Economy

September 2021

The Role of IDS for the European Data Economy

October 2019 | Version 1.0

DEKLARATION - IDS als unverzichtbarer Bestandteil vertrauenswürdiger Cloud- und Datainfrastrukturen

October 2019 | Version 1.0

German

IDS – The Standard for Data Sovereignty

September 2019 | Version 1.0

IDS - Fact Sheet and Core Statements

August 2019 | Version 1.0

IDS – Der Standard für Datensouveränität

September 2019 | Version 1.0

German

IDS - Fact Sheet und Kernaussagen

August 2019 | Version 1.0

German

White Papers

Reference Architecture Model

April 2019 | Version 3.0

IDS Reference Architecture Model

Version 2.0

Reference Architecture Model for the Industrial Data Space

Sharing Data While Keeping Data Ownership

White Paper 2018

Framework for the IDS Certification Scheme

Strategy Paper 2018 | Version 2.0

Position Papers

GAIA-X and IDS

Position Paper 2021 | Version 1.0

Implementing the European Strategy on Data - Role of the IDS

Position Paper 2020 | Version 1.0

DIN SPEC 27070

English Version

GDPR Related Requirements and Recommendations for the IDS Reference Architecture Model

Position Paper 2019 | Version 1.0

IDS Certification Explained

Position Paper 2019 | Version 1.0

Blockchain Technology in IDS

Position Paper 2019 | Version 1.0

Anforderungsdokument

Position Paper 2019

Open Data Spaces Towards the IDS Open Data Ecosystem

Position Paper 2018 | Version 1.0

Jointly Paving the Way for a Data Driven Digitalisation of European Industry

Position Paper 2018 | Version 1.0

German Standardization Roadmap Industrie 4.0

Version 5

English

A delimitation of data sovereignty from digital and technological sovereignty

Research Paper - June 2023

The 2022 World Manufacturing Report

Redesigning supply chains in the new era of manufacturing

Guidance for the Integration of IoT and Edge Computing in Data Spaces

Release 1.0

Trustworthy Data

Data sharing, key to our strategic autonomy

Mobility Data Spaces and MaaS

Building a common, connected, and interoperable ground for the future of mobility

White Paper Mobility Data Spaces

Reimagining Data and Power

Reimagining Data and Power

A roadmap for putting values at the heart of data

How data sovereignty enables the next future of automotive

How data sovereignty enables the next future of automotive

Take a deep dive into data spaces – #1

Evolving Data Space Technologies Lessons Learned from an IDS Connector Reference Implementation

Evolving Data Space Technologies:

Lessons Learned from an IDS Connector Reference Implementation

European Common Data Spaces

A report on challenges and opportunities

Linking Data Sovereignty and Data Economy

Arising Areas of Tension

Data Spaces

Design, Development and Future Directions

October 2022

Designing Data Spaces

Designing Data Spaces

The Ecosystem Approach to Competitive

July 2022

A Federated Infrastructure for European Data Spaces

by Boris Otto

April 2022

Smart Digital Economy

What has Open Source gotta do with it?

White Paper January 2022

Data for Common Purpose

Leveraging Consent to Build Trust

White Paper November 2021

The IDS approach for cross-sectorial sovereign data sharing as enabler for extended supply chains: a dive-in into the automotive domain

AI Marketplace Brochure

The Digital Platform for Tomorrow’s Innovations

Towards a Federation of AI Data Spaces

NL AIC reference guide to federated and interoperable AI data spaces

Europe’s Digital Decade and Autonomy

Study 2021

Gaia-X and European Smart Cities and Communities white paper

White Paper 2021 | Version 21.09

Digital Ecosystems & Composable Solutions

Where your Business meets Innovation

Towards a Data Economy: An Enabling Framework

White Paper 2021

GAIA-X Data Space Business Committee Position Paper

Consolidated Version for Industry Verticals

Predictive Maintenance for Wind Turbines – Energy Data Space Whitepaper

White Paper 2021

Data Sharing Coalition Blueprint

June 2021 | Version 1.0

Data Sovereignty and Data Economy - Two Repulsive Forces?

Position Paper May 2021

How to Share Data

Case Study April 2021

German

Data Sharing Canvas

April 2021

Data protection & data security in data ecosystems

White Paper 2021

German

Use Case Playbook

Playbook 2021

Posicionamiento sobre los Espacios de Datos

White Paper 2021

Spanish

Sovereign Data Exchange in Cloud-Connected IoT using International Data Spaces

December 2021

Constructing a Real-Time Value-Chain Integration Architecture for Mass Individualized Juice Production

NDE40

The World of NDE 4.0

Let the Journey Begin

Data Move People – Mobility Data Spaces

Anthology 2021 | Version 1.0

The Elements of Big Data Value

Foundations of the Research and Innovation Ecosystem

International Data Spaces A Collaborative Organizational Moonshot

International Data Spaces: A Collaborative Organizational Moonshot

Federated Digital Platforms Value Chain Integration for Sustainable Infrastructure Planning and Delivery

Federated Digital Platforms: Value Chain Integration for Sustainable Infrastructure Planning and Delivery

Applied-Sciences---Smart-Factory-Web

Smart Factory Web – A Blueprint Architecture for Open Marketplaces for Industrial Production

The Semantic Web cover

The International Data Spaces Information Model – An Ontology for Sovereign Exchange of Digital Content

Cyber‑Physical Loops as Drivers of Value Creation in NDE 4.0

NDE Perception and Emerging Reality: NDE 4.0 Value Extraction

Data Ecosystems: Sovereign Data Exchange among Organizations

Any questions? Contact us!

Nora Gras

Your contact person:
Nora Gras
Senior Communication Manager

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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

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