The document discusses the Industrial Data Space (IDS) approach for enabling companies to share data sovereignly and create value from data. The IDS proposes a standardized architecture and connector to allow different organizations to exchange data securely while maintaining control over how their data is used. It has over 80 member companies working on use cases and standards to realize this vision of a decentralized yet trusted network for industrial data sharing and services.

1. TOWARDS AN EUROPEAN INDUSTRIAL DATA SPACE
THORSTEN HUELSMANN, INDUSTRIAL DATA SPACE ASSOCIATION
SHARING DATA SOVEREIGNLY

2. AN ECONOMIC ASSET
DATA
The key focus for a data-driven economy and
new business models is in linking data.
SENSOR DATAMATERIAL CHARACTERISTICSMOBILITY DATAFINANCIAL DATATECHNICAL DRAWINGS

3. Interoperability
Data Exchange
»Sharing Economy«
Data Centric
Services
Data Ownership
Data Security
Data Value
WITHOUT REGRET
COMPANIES WANT TO LINK DATA

4. Interoperability
Data Exchange
»Sharing
Economy«
Data Centric
Services
Data Ownership
Data Security
Data Value
is the ability of a natural or legal
person (=company) to exclusively
and sovereignly decide concerning
the usage of data as an economic
asset.
DIGITAL SOVEREIGNTY
BUT THERE ARE EXISTING CHALLENGES
„SQUARING THE CIRCLE“

5. www.industrialdataspace.org // 5
‘‘HOW TO‘‘ DATA ECONOMY
UNLEASH THE VALUE OF YOUR DATA
1. Make data available
2. Link with ecosystem
partners
3. Control the access
to your data
4. Create value

6. www.industrialdataspace.org
INDUSTRIAL DATA SPACE APPROACH:
// 6
SELF DETERMINED CONTROL OF DATA FLOWS
Endless Connectivity
standard for data flows between
all kinds of data endpoints
Trust between different
security domains
Comprehensive security functions
providing a maximum level of trust
Governance for the
data economy
usage control and enforcement
for data flows

7. www.industrialdataspace.org // 7
TO DO LIST
INDUSTRY 4.0 AND DATA ECONOMY
Everything needs to be secure
• Authentification & Authorisation
• Usage Policies & Usage Enforcement
• Trustworthy Communication
• Security by Design
• Techn. Certification
SECURITY
Connection of every data endpoint
• Integration of existing vocabularies
• Using different data formats
• Connection of clouds and platforms
STANDARDIZED
CONNECTIVITY Data is being traded as an asset
• Clearing & Billing
• Domain specific Broker and
Marketplaces
• Use Restrictions and Legal
Aspects (Contract Templates,
etc.)
DATA MARKETS
Being able to explain, find and
understand data
• Data source description
• Brokering
• Vocabulary
ECOSYSTEM OF DATA
Typical tasks can be solved
easier with apps
• Processing of Data
• Remote Execution
VALUE ADDING APPS
Trust is the basis of the IDS
• Identitymanagement
• User-certification
TRUST
1 2 3
4 5 6

8. www.industrialdataspace.org // 8
80+
Companies and
Organisations
5
Working Groups
20+
Use
Cases
1
Ecosystem
=

9. www.industrialdataspace.org // 9
ARCHITECTURE FOR DATA AND DATA SERVICES
AN INFRASTRUCTURE FOR ALL INDUSTRIES AND DOMAINS
Automotive
Electronics
and IT Logistics Retail and Food Health
… (other
Industries)
Smart-Service-Scenarios
Service and product innovations
»Smart Data Services« (alerting, monitoring, data quality etc.)
»Basic Data Services« (information fusion, mapping, aggregation etc.)
Internet of Things ∙ broad band infrastructure ∙ 5G
Real Time Area ∙ sensors, actuators, devices
Architecturelevel
INDUSTRIAL DATA SPACE

10. www.industrialdataspace.org // 10
INDUSTRIAL DATA SPACE
P2P NETWORK OF TRUSTED DATA
Security
Data
exchange
Trust
Certified
Participants
Decentral
Approach
distributed
architecture
Sovereignty
over data
and services
Data Governance
“rules of
the game”
Economies of
scale
Networking
effects
Open
Approach
Neutral and
user-driven Network
of platforms
and services
 All actors oblige
themselves to play by the
rules of Industrial Data
Space
 Actors and technical
components are to be
certified
 IDS provides usage control
for data and different
tailor-made levels of trust

11. www.industrialdataspace.org // 11
A TRUSTED PEER TO PEER NETWORK
FOR ALL INDUSTRIES TO SHARE DATA
 Software components enable all
stakeholders (defined roles) to
participate in IDS
 The quantity of all (external) IDS
connectors defines the Industrial
Data Space
 Internal IDS connectors are used
to link data sources in the
company, to transform and to
improve them.
© Fraunhofer

12. www.industrialdataspace.org // 12
MILESTONES REACHED
AND NEXT STEPS
ARCHITECTURE
Release of the
reference architecture
model 2.0 at
Hannover Fair
INTERNATIONAL
Members all over the world,
connected with important
industry eco-systems and
initiatives, major european
RTOs, intense engagement
in european research
activities.
STANDARD
Foundation of a
workinggroup at DIN to
create a specification for
the IDS connector (DIN
27070).
GO LIVE
Ecosystem potentially
running, first products,
enhancing global
adoption.

13. www.industrialdataspace.org // 13
USE CASES AND INNOVATION ACTIONS
MAKE IT HAPPEN
ADOPTION OF INDUSTRIAL DATA SPACE
Build up an ecosystem by
integrating further partners (also
from different domains)
Setup use cases to validate and
implement Industrial Data Space
technology
Each member or project
of IDSA realizes business
driven use cases
!
!
+
+
+

14. // 14
!THORSTEN HUELSMANN & LARS NAGEL
INDUSTRIAL DATA SPACE ASSOCIATION
JOSEPH-VON-FRAUNHOFER-STR. 2-4
44227 DORTMUND | GERMANY
+49 231 9743 619
INFO@INDUSTRIALDATASPACE.ORG
@ids_association
#industrialdataspace
www.industrialdataspace.org
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