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© Fraunhofer · Seite 1
Prof. Dr. Boris Otto · Dortmund · October 2015
INDUSTRIAL DATA SPACE:
BRIEF OVERVIEW
© 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:
© 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
© Fraunhofer · Seite 4
Piloting the Industrial Data Space materializes in a set of
software components
© 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
© 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
© Fraunhofer · Seite 7
Prof. Dr. Boris Otto · Dortmund · October 2015
INDUSTRIAL DATA SPACE:
BRIEF OVERVIEW

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Industrial Data Space Key Facts

  • 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