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:

3.
© Fraunhofer · Seite 3
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

4.
© Fraunhofer · Seite 4
Piloting the Industrial Data Space materializes in a set of
software components

5.
© Fraunhofer · Seite 5
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

6.
© Fraunhofer · Seite 6
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