Digitalisation is both an enabler and a driving force behind innovative business models. A key ability for innovative business models is to be able to combine data in one “ecosystem”: Services are decoupled from physical platforms/products, The architecture levels are decoupled, Products become platforms and vice versa, “Ecosystems“ develop around platforms, Innovation takes place cooperatively. Data as strategic resource enables smart services, products and our desired lifestyle of the future.

1. // 1
INDUSTRIAL DATA SPACE
A NEW IDEA FOR SHARING DATA BETWEEN
COMPANIES WHILE PROVIDING FULL DATA
SOVEREIGNTY

2. Interoperability
Data Exchange
»Sharing Economy«
Data Centric
Services
Data Ownership
Data Security
Data Value
WE HAVE A NEW IDEA
FOR DEALING WITH DATA
is the ability of a natural or
legal person to exclusively
and sovereignly decide
concerning the usage of data
as an economic asset.
DIGITAL SOVEREIGNTY

3. // 3www.industrialdataspace.or
g
Foto © greatist.com
Digitalisation is both an enabler and a driving force behind
innovative business models.
A key ability for innovative business models is to be able to
combine data in one “ecosystem”:
• Services are decoupled from physical platforms/products
• The architecture levels are decoupled
• Products become platforms and vice versa
• “Ecosystems“ develop around platforms
• Innovation takes place cooperatively
Data as strategic resource enables smart
services, products and our desired
lifestyle of the future.
A SNEAKER IS NO LONGER A SNEAKER
PHYSICAL PRODUCTS GROW TO DIGITAL SERVICES

4. www.industrialdataspace.org // 4
THE INDUSTRIAL DATA SPACE
AS CONNECTION BETWEEN PLATFORMS AND THINGS
PLANNING, EXECUTION, CONTROL
(MULTI-SIDED PLATFORMS)
Traffic Weather
OPEN
CONTEXT DATA
Actors Sensors Machines
IoT Clouds
Domain specific platforms
Marketplaces
Broker
ConsumerProduction
FIELD VIEW
(FACTORY)
VALUE CHAIN
It‘s all about sharing data!

5. INDUSTRIAL DATA SPACE
THE INITIATIVE AND ITS OBJECTIVES
50 +
Companies, Alliances, Institutions are members
of the association
Governance and reference
architecture for an
international standard
on data interoperability
Start 2014
Target
/ High Level Talks initiated by Fraunhofer
/ Support from German Government
/ Research Project Industrial Data Space
Jan. 2016

6. www.industrialdataspace.org // 6
50+
Companies and
Organisations
5
Working Groups
16
Use
Cases
1
Ecosystem
=

7. First working
group meetings
MEMBERSHIP DEVELOPMENT
AND MILESTONES
Foundation with 18 Members
Connector
realised in first
sprint
Go Live first use
case with
thyssenkrupp
Release of the reference
architecture document
2016 2017
52 members
end of 2016
58 members
today
First
international
member
More than 150
members at the end
of 2017
Hannovermesse
Start of the DIN
standardisation process Foundation of
first international
hub
First public
assembly on
CeBIT – MoU
with OPC-
Foundation –
release
whitepaper
Strategic Goals for 2017
∕ More (international) members
∕ Strategic alliances
∕ First products

8. INDUSTRIAL DATA SPACE –
THIS IS OUR MISSION:
MISSION
STATEMENT
The INDUSTRIAL DATA
SPACE ASSOCIATION
defines the basic conditions
and governance for a
reference architecture and
interfaces with the objective
of setting up an
international standard.
INTERNATIONAL STANDARDS
This standard is
actively developed
and updated on
the basis of use
cases.
USE CASES
INDUSTRIAL DATA SPACE
stands for secure data
exchange between
companies in which the
data provider is always the
owner of that data and still
keeps control over the use
of their data.
SECURE DATA EXCHANGE
It forms the basis for a
variety of certifiable software
solutions, smart services and
business models, the
development of which is
encouraged by the
association.
BUSINESS MODELS
1
2
4 3

9. www.industrialdataspace.org // 9
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

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
• We provide usage control
for data and different
tailor-made levels of trust

11. www.industrialdataspace.org // 11
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

12. www.industrialdataspace.org // 12
OUR USE CASES MAKE IT REAL
INDUSTRIAL DATA SPACE IN ACTION
Each member of the association
realizes a business driven use
case
• The use cases demonstrate
the innovations based on
Industrial Data Space
• Potential core of an
ecosystem by integrating
further partners (also from
different domains)
Use-Case Company Industry
Broker-based Design of Supply Chains Atos Logistics & Supply Chains
Collaborative Supply Chain Risk Management Audi und Bosch Logistics & Supply Chains
Supplier Capacity Management Audi Logistics & Supply Chains
Control of Inbound- and Outbound-Logistics Bayer Logistics & Supply Chains
Enhanced Maintainence of Facilities by Exchanging Facility Data Bayer Logistics & Supply Chains
Central Providing of Clinical Data Boehringer-Ingelheim Health Industry
Assessment of Data Sources Boehringer-Ingelheim Health Industry
Plattform-Integration of Production Facilities Festo Production & Industrie 4.0
Smart Data Hub KOMSA Logistics & Supply Chains
Continuous Monitoring PWC End2End Customer Processes
Online-Transportgoodtracking Robert Bosch GmbH Logistics & Supply Chains
Constant Information in the Productionprocess Salzgitter Production & Industrie 4.0
Intelligente Bestandsauskunft Salzgitter End2End Customer Processes
Digital Linking of Production Lines Schaeffler Production & Industrie 4.0
Smart Sensor Intelligence SICK Production & Industrie 4.0
Dynamic Timeslot Management and Tracking in the Supply Chain Thyssenkrupp Logistics & Supply Chains
Control of Upstream- and Downstream-Supply Chain Volkswagen Logistics & Supply Chains
16
Use
Cases

13. www.industrialdataspace.org // 13
• Time Slot Management,
Dynamic Estimated Time of
Arrvial and Track & Trace
• Integrating all existing
telematics systems
• Ensuring maximum
connectivity to all logistics
service providers
• Using GS1 EDI XML as
common message standard
• Comprehensive status
changes
DIGITAL LINKING OF A
PRODUCTION LINE
• Semantic standards for the
Machine 4.0 (RDF)
• Combining of production,
replenishment,
maintainence, quality
management
• Exchanging data along the
whole production line and
supply chain
• Combining vocabularies
• Reference technology stack
for a machine 4.0
DYNAMIC TIMESLOT
MANAGEMENT AND TRACKING
IN THE SUPPLY CHAIN
+ Automatic matching of tool and order data
+ Minimizing tooling time
+ Correlation of machine and work piece
Benefits Benefits
+ Reducing traffic jams and out of stock
situations
+ Time slot management in realtime
+ Better data quality for planning
OUR USE CASES MAKE IT HAPPEN

14. www.industrialdataspace.org // 14
• Merging of procurement
systems
• Automatic management of
semantic description of
steel quality criterias
• Machine interface for
availability
• Transparency and fast
response time to
customers
BROKER BASED DESIGN OF
SUPPLY CHAINS
• Small lot sizes make
adhoc actions necessary
• Orchestration of all
network partners (Logistic
service providers) to fulfill
orders
• Selforganised
configuration of a
transportation order
• Tender management
INTELLIGENT STOCK
INFORMATION
+ Tailormade supply chains on demand
+ More transparency and options
+ Reducing the connections to suppliers
+ Procurement in realtime
+ Better quality by reducing misinformation
Benefits Benefits
OUR USE CASES MAKE IT HAPPEN

15. www.industrialdataspace.org // 15
• Several research and technology organisations
and technology related associations (RTOs)
allover Europe saveguard the technological
core of the Industrial Data Space
• RTOs act as hubs in Europe, to spread the idea
into the respective countries, gain new
members and set up multiple use cases
• Participating in European and national
research programs
• IDS-specific workinggroup within the EARTO
(European Association of Research and
Technology Organisations)
STRONGLY ENGAGED
IN THE EUROPEAN RESEARCH LANDSCAPE

16. www.industrialdataspace.org // 16
Architecture
• Reference architecture
• Developing software components
• Standardization within DIN
• Configurating product backlog
Use-Cases &
Requirements
• Transfer requirements of companies
to functional overview
• Support Use-Case integration
• Validation of IDS components
Certification
• Definition of requirements and
criteria for certification
• Certification roadmap
• Definition of components and roles
for certification
Exploitation &
Business Modeling
• Development of user stories with IDS
in industries
• Defining regulation and market
incentives
• Strategic decisions
Legal Framework
• Consideration of legal aspects
within IDS
• Shaping the data economy
• Development IPR Policy
Communication
• Promotion of marketing and
communication of the initiative
• Communication strategy and actions
IDSA Annual Ordinary General Assembly
20.02.2017
3. Overview of Governance and
Working Groups
WORKING GROUPS AND TASKFORCES

17. www.industrialdataspace.org // 17
WORKING GROUP USE-CASES & REQUIREMENTS
Dr. Sven Wenzel
Digitization in Service
Industries
Fraunhofer ISST
sven.wenzel@isst.fraunhofer.de
+49 231 97677-433
Dr. Alireza
Tavakoli
Innovation Strategy &
Projects
thyssenkrupp AG
alireza.tavakoli@thyssenkrupp.com
+49 231 97677-433
HEAD OF THE
WORKING GROUP
ACTIVITIES OF THE WORKING GROUP
Use Case
Process
OBJECTIVES OF THE WORKING GROUP
WHO SHOULD ATTEND
• Determining requirements of companies
• Filling the functional overview with general
requirements for the IDS to guarantee success
and functionality
• Validating of IDS components
• Defining and evaluating quality criteria for use-
cases
• Supporting the identification, set up,
implementation, validation and the roll-out of
use-cases
• Verifying the principles of IDS
• Contributing the
establishment to a robust
infrastructure
The objective of the working group use-cases &
requirements is to ensure practical relevance,
help to achieve acceptance and to spread the
word about Industrial Data Space as the basis for
new sustainable business models and as an
essential contribution for securing
the future of the member companies.
• Experts in your company's business processes
• Somebody who has an idea to implement IDS in
your company
• Colleagues who know about the
exchanged data in your company

18. www.industrialdataspace.org // 18
WORKING GROUP ARCHITECTURE
ACTIVITIES OF THE WORKING GROUP OBJECTIVES OF THE WORKING GROUP
WHO SHOULD ATTEND
• Modifying the reference architecture model
developed in the research project for the
utilization of Industrial Data Space in industry
together with representatives from the user
companies
• Verifying the different parts of the reference
architecture as the basis for the IDS ecosystem
• Owning the product backlog with prioritized
requirements for implementing in different
sprints which are developed by the research
project
• Implementing and testing sprint releases within
user companies
• Standardizing the IDS Connector in a DIN SPEC
procedure
The working group architecture aims the
development of business, security, data &
service and software architecture. Furthermore,
the working group takes responsibility for the
standardization of the main software
component the IDS Connector.
• Experts in analyzing and developing an IT
Architecture
• Colleagues who know about your companies IT
infrastructure, utilized software and systems
• Experts in developing software, apps
or other components
Dr. Steffen
Lohmann
Fraunhofer IAIS
steffen.lohmann@iais.fraunhofer.de
+49 2241 14-3021
Andreas
Teuscher
Corporate Security
Office
SICK AG
Andreas.Teuscher@sick.de
+49 7681 202-5286
HEAD OF THE
WORKING GROUP

19. www.industrialdataspace.org // 19
WORKING GROUP CERTIFICATION
ACTIVITIES OF THE WORKING GROUP OBJECTIVES OF THE WORKING GROUP
WHO SHOULD ATTEND
• Defining of criteria and certification
requirements
• Specifying certificated roles and their respective
responsibilities
• Developing and evaluating the certification
process
• Analyzing existing “base” certificates
• Future evolution of the Industrial Data Space
certification scheme
The objective of the working group certification is to
define the certification scheme of the Industrial
Data Space. This will include the specification of
certification requirements and criteria, the
definition of the roles and the development of the
evaluation methods used during
the certification.
• Experts in certification processes
• Colleagues who know about certification
activities in your company
• Colleagues who are interested in
certification in the Industrial Data Space
Nadja Menz
Digital Public Services
Fraunhofer FOKUS
nadja.menz@fokus.fraunhofer.de
+49 30 3463-7320
Aleksei Resetko
Risk Assurance
Solutions
PwC AG
aleksei.resetko@de.pwc.com
+49 69 9585-5059
HEAD OF THE
WORKING GROUP

20. HOW YOU CAN GET INVOLVED
• Piloting, applying and testing
Industrial Data Space
• Implementing requirements
in the development of the
architecture
Use Cases
ArchitectureBusiness Development
• Support to help design the
reference architecture
• Hands on workshops
• Agile software
development
Workings groups
• Regular exchange with all
member companies
• Dealing jointly with problems
concerning data exchange
• Quick go to market
• Development of business
models
• Development of common
user models
• Joint use cases
Exchange of information
• Insights and business ideas
• Common events/
Networking events
• Organisation of marketing
activities/fairs
Standardisation/
Certification
• Defining and implementing
standards
• Designing the Industrial Data
Space certification measures
Foto © Christian Rolfes/Ford

21. www.industrialdataspace.org // 21
MILESTONES REACHED
AND NEXT STEPS
ARCHITECTURE
First release of the
reference architecture
model in February as
base for
standardisation
INTERNATIONAL
Members all over the
world, major european
RTOs, intense
engagement in
european research
activities
STANDARD
Foundation of a
workinggroup at DIN to
create a DIN
specification for the IDS
connector
HANNOVERMESSE
Breakthrough on
Hannovermesse with
multiple use cases

22. // 22
JOIN US
!
// 22
INDUSTRIAL DATA SPACE HEAD OFFICE
JOSEPH-VON-FRAUNHOFER-STR. 2-4
44227 DORTMUND | GERMANY
+49 231 9743 619
INFO@INDUSTRIALDATASPACE.ORG
WWW.INDUSTRIALDATASPACE.ORG