The Industrial Data Space is designed to create a trusted network for data exchange, facilitating smart services and manufacturing through interoperability and collaboration. It features a decentralized architecture with certified members and emphasizes security, scalability, and governance. The initiative is supported by the German federal government and aims to implement software solutions for effective data management across various industries.

1. © Fraunhofer · Seite 1
Prof. Dr. Boris Otto · Dortmund · October 2015
INDUSTRIAL DATA SPACE:
BRIEF OVERVIEW

2. © Fraunhofer · Seite 2
Data is the strategic resource to link Smart Services and
Smart Manufacturing
Information flow
Public
Data
Data from the
Value Chain
Commercial
Services
Industrial
Services
Individualization
End-to-End
Customer Process
Ecosystem
Ubiquity
Smart Data
Management
Interoperability
Human-Machine-
Collaboration
Autonomous
Systems
Internet of Things
Customer
Production
Networks
Logistics
Networks
Smart ServicesDataSmart Manufacturing
Material flow.Legend:

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The Industrial Data Space aims at a »Network of Trusted
Data«
Sovereignty
Data and ServicesTrustworthiness
Certified Members
Decentralization
Federated Architecture
Openness
Neutral and User-Driven
Governance
Common Rules of the
Game
Scalability
Network Effects
Ecosystem
Platform and Services
Security
Data Exchange

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Piloting the Industrial Data Space materializes in a set of
software components

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The Industrial Data Space is driven by industry and
supported by the German Federal Government
Chartered Organization Founders Governmental Research Grant
 Reference Architecture Model
 Use Case Pilot Implementations

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Some key features characterize the Industrial Data Space
 Secure »Data Supply Chain«
 Flexible »IDS Endpoint« scenarios
 Enterprise IT
 Cloud
 Hardware device (Machine tool, fork lift etc.)
 »Light-weight Semantics«
 Easy combination of different data goods
 Domain-specific governance models
 Configurable reference architecture model
 Standardized collaboration processes for data
 Open design and development process

7. © Fraunhofer · Seite 7
Prof. Dr. Boris Otto · Dortmund · October 2015
INDUSTRIAL DATA SPACE:
BRIEF OVERVIEW