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g
WHY WE NEED AN EUROPEAN LOGISTICS DATA SPACE
Thorsten Huelsmann, Industrial Data Space Association
THORSTEN HUELSMANN IS CEO OF EFFIZIENZCLUSTER MANAGEMENT
GMBH (ECM) AND AFFILIATED WITH FRAUNHOFER IML AND IDSA
Member of / Partner of:
// 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
www.industrialdataspace.org // 4
The purpose of this Communication is to reinforce
the EU's competitiveness in digital technologies and
to ensure that every industry in Europe, in
whichever sector, wherever situated, and no matter
of what size can fully benefit from digital
innovations.
DIGITISING EUROPEAN INDUSTRY (DEI) AS UMBRELLA
FOR DIGITAL TRANSPORT AND LOGISTICS
www.industrialdataspace.org // 5
DIGITISING EUROPEAN INDUSTRY (DEI)
TECHNOLOGIES DRIVING THE CHANGE
www.industrialdataspace.org // 6
DIGITAL TRANSPORT & LOGISTICS FORUM
ADRESSES THE RIGHT QUESTIONS
www.industrialdataspace.org // 7
IN »DIGITISING EUROPEAN INDUSTRY« DATA IS A KEY
RESOURCE FOR BUSINESS MODEL INNOVATION
»Digitising
European
Industry«
End-to-
End
Customer
Process
Hybrid
Service
Offerings
Data-
Centricity
Business
Ecosystem
s
Digital
Platforms
New
Business
Models
www.industrialdataspace.org // 8
AS A CONSEQUENCE OF »DIGITISING EUROPEAN
INDUSTRY« THE DEMAND FOR TRANSPARENCY AND
INTEROPERABILITY IN VALUE NETWORKS IS INCREASING
www.industrialdataspace.org // 9
VARIOUS FP7 AND H2020 PROJECTS ADDRESS SMART
SERVICES AND PLATFORM / SAAS SOLUTIONS
Interoperability
Data Exchange
»Sharing Economy«
Data Centric Services
Data Ownership
Data Security
Data Value
ENTERPRISES END UP IN A CONFLICT OF INTEREST
BETWEEN THE DEMAND TO SHARE DATA AND THE NEED
TO PROTECT IT
is the cability of a natural or
legal person for exclusive
self-determination with
regard to ist economic data
goods.
DIGITAL SOVEREIGNTY
www.industrialdataspace.org // 11
INDUSTRY ARTICULATED REQUIREMENTS FOR A NETWORK
OF TRUSTED DATA - THE INDUSTRIAL DATA SPACE
Trust
Certified
Participants
Scalability
Network Effects
Openness
Neutrality and
User Community
Governance
Mutual Rules of
the Game
Ecosystem
Platforms and
Services
Security
On-Demand Data
Exchange
Sovereignty
Data Ownership
Decentral Control
Federated
Architecture
This means …
… 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.
www.industrialdataspace.org // 12
Others
THE INDUSTRIAL DATA SPACE DEFINES THE DATA
ARCHITECTURE BETWEEN SMART SERVICES AND THE
INTERNET OF THINGS
Manufacturing Health FoodLogistics
© Fraunhofer, Boris Otto
www.industrialdataspace.org // 13
THE INDUSTRIAL DATA SPACE CONNECTS VARIOUS
DIGITAL PLATFORMS AND THE INTERNET OF THINGS
© Fraunhofer, Boris Otto
www.industrialdataspace.org // 14
THE INDUSTRIAL DATA SPACE
MULTILATERAL – USAGE CONTROL – CONNECTING PLATFORMS AND CLOUDS
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
www.industrialdataspace.org // 15
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
INDUSTRIAL DATA SPACE
THE INITIATIVE AND OUR TARGET
/ 2016 - Establishment of IDSA
/ 80+ Companies, Alliances, Institutions are members
of the association
/ 2016 - Introduction to Oettinger Roundtable
/ IDSA active in 14 countries
Governance and reference
architecture for an
international standard
on data sovereignty
Start 2014
Target
/ 2015 - Initial Project supported by German
Government
/ 2015 - High Level Talks in German and European
Industry
Jan. 2016
www.industrialdataspace.org // 17
80+
Companies and
Organisations
5
Working Groups
18
Use
Cases
1
Ecosystem
=
First working
group meetings
MEMBERSHIP DEVELOPMENT
AND MILESTONES
Foundation with 18 Members
Connector
realised in first
sprint
Go Live first use
case with
thyssenkrupp
2016 2017
52 members
end of 2016
80+
members
today
First
international
member
More than 150
members at the end
of 2018
Hannovermesse:
Release of the
reference
architecture
document
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 2018
∕ More (international) members
∕ Strategic alliances
∕ First products
www.industrialdataspace.org // 19
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
www.industrialdataspace.org // 20
• 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
www.industrialdataspace.org // 21
• 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
www.industrialdataspace.org // 22
Short Description
• Phase 1: Event based
transfer of effected
Supply Chain data
• Phase 2:Event based
transfer of material flow
data
COLLABORATIVE SUPPLY
CHAIN RISK MANAGEMENT
Benefits
+ On demand Supply Chain Transparency
+ Realtime Tracking and Tracing
+ Proactive Supply Chain Risk Management
OUR USE CASES MAKE IT HAPPEN
Main Technology/IDS
Components
• Internal and external IDS
connector
• Vocabulary
• Bosch Tracking & Tracing
Partners/Ecosystem
• Logistics Service Provider
(tbd.)
• Tier-2 Supplier (tbd.)
Targets
• Set of rules
• Standardized data
definitions
• Harmonized data model
• Proof of concept for the
data transfer
www.industrialdataspace.org // 23
 Several research and technology organisations
(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 RTOs)
STRONGLY ENGAGED
IN EUROPE AND WORKING TOWARDS IDSA HUBS
www.industrialdataspace.org // 24
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 2018
with multiple use cases
// 25
THORSTEN HUELSMANN
DIRECTOR
INDUSTRIAL DATA SPACE ASSOCIATION
www.linkedin.com/in/thorstenhuelsmannecm
de.slideshare.net/ThorstenHuelsmann
Joseph-von-Fraunhofer-Str. 2-4
44227 Dortmund | Germany
+49 231 9743 619
info@industrialdataspace.org
@ids_association
#industrialdataspace
www.industrialdataspace.org
Ressource Hub – Press Area – Blog
www.industrialdataspace.org // 26
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
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

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WHY WE NEED AN EUROPEAN LOGISTICS DATA SPACE

  • 1. // 1www.industrialdataspace.or g WHY WE NEED AN EUROPEAN LOGISTICS DATA SPACE Thorsten Huelsmann, Industrial Data Space Association
  • 2. THORSTEN HUELSMANN IS CEO OF EFFIZIENZCLUSTER MANAGEMENT GMBH (ECM) AND AFFILIATED WITH FRAUNHOFER IML AND IDSA Member of / Partner of:
  • 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 purpose of this Communication is to reinforce the EU's competitiveness in digital technologies and to ensure that every industry in Europe, in whichever sector, wherever situated, and no matter of what size can fully benefit from digital innovations. DIGITISING EUROPEAN INDUSTRY (DEI) AS UMBRELLA FOR DIGITAL TRANSPORT AND LOGISTICS
  • 5. www.industrialdataspace.org // 5 DIGITISING EUROPEAN INDUSTRY (DEI) TECHNOLOGIES DRIVING THE CHANGE
  • 6. www.industrialdataspace.org // 6 DIGITAL TRANSPORT & LOGISTICS FORUM ADRESSES THE RIGHT QUESTIONS
  • 7. www.industrialdataspace.org // 7 IN »DIGITISING EUROPEAN INDUSTRY« DATA IS A KEY RESOURCE FOR BUSINESS MODEL INNOVATION »Digitising European Industry« End-to- End Customer Process Hybrid Service Offerings Data- Centricity Business Ecosystem s Digital Platforms New Business Models
  • 8. www.industrialdataspace.org // 8 AS A CONSEQUENCE OF »DIGITISING EUROPEAN INDUSTRY« THE DEMAND FOR TRANSPARENCY AND INTEROPERABILITY IN VALUE NETWORKS IS INCREASING
  • 9. www.industrialdataspace.org // 9 VARIOUS FP7 AND H2020 PROJECTS ADDRESS SMART SERVICES AND PLATFORM / SAAS SOLUTIONS
  • 10. Interoperability Data Exchange »Sharing Economy« Data Centric Services Data Ownership Data Security Data Value ENTERPRISES END UP IN A CONFLICT OF INTEREST BETWEEN THE DEMAND TO SHARE DATA AND THE NEED TO PROTECT IT is the cability of a natural or legal person for exclusive self-determination with regard to ist economic data goods. DIGITAL SOVEREIGNTY
  • 11. www.industrialdataspace.org // 11 INDUSTRY ARTICULATED REQUIREMENTS FOR A NETWORK OF TRUSTED DATA - THE INDUSTRIAL DATA SPACE Trust Certified Participants Scalability Network Effects Openness Neutrality and User Community Governance Mutual Rules of the Game Ecosystem Platforms and Services Security On-Demand Data Exchange Sovereignty Data Ownership Decentral Control Federated Architecture This means … … 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.
  • 12. www.industrialdataspace.org // 12 Others THE INDUSTRIAL DATA SPACE DEFINES THE DATA ARCHITECTURE BETWEEN SMART SERVICES AND THE INTERNET OF THINGS Manufacturing Health FoodLogistics © Fraunhofer, Boris Otto
  • 13. www.industrialdataspace.org // 13 THE INDUSTRIAL DATA SPACE CONNECTS VARIOUS DIGITAL PLATFORMS AND THE INTERNET OF THINGS © Fraunhofer, Boris Otto
  • 14. www.industrialdataspace.org // 14 THE INDUSTRIAL DATA SPACE MULTILATERAL – USAGE CONTROL – CONNECTING PLATFORMS AND CLOUDS 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
  • 15. www.industrialdataspace.org // 15 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
  • 16. INDUSTRIAL DATA SPACE THE INITIATIVE AND OUR TARGET / 2016 - Establishment of IDSA / 80+ Companies, Alliances, Institutions are members of the association / 2016 - Introduction to Oettinger Roundtable / IDSA active in 14 countries Governance and reference architecture for an international standard on data sovereignty Start 2014 Target / 2015 - Initial Project supported by German Government / 2015 - High Level Talks in German and European Industry Jan. 2016
  • 17. www.industrialdataspace.org // 17 80+ Companies and Organisations 5 Working Groups 18 Use Cases 1 Ecosystem =
  • 18. First working group meetings MEMBERSHIP DEVELOPMENT AND MILESTONES Foundation with 18 Members Connector realised in first sprint Go Live first use case with thyssenkrupp 2016 2017 52 members end of 2016 80+ members today First international member More than 150 members at the end of 2018 Hannovermesse: Release of the reference architecture document 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 2018 ∕ More (international) members ∕ Strategic alliances ∕ First products
  • 19. www.industrialdataspace.org // 19 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
  • 20. www.industrialdataspace.org // 20 • 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
  • 21. www.industrialdataspace.org // 21 • 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
  • 22. www.industrialdataspace.org // 22 Short Description • Phase 1: Event based transfer of effected Supply Chain data • Phase 2:Event based transfer of material flow data COLLABORATIVE SUPPLY CHAIN RISK MANAGEMENT Benefits + On demand Supply Chain Transparency + Realtime Tracking and Tracing + Proactive Supply Chain Risk Management OUR USE CASES MAKE IT HAPPEN Main Technology/IDS Components • Internal and external IDS connector • Vocabulary • Bosch Tracking & Tracing Partners/Ecosystem • Logistics Service Provider (tbd.) • Tier-2 Supplier (tbd.) Targets • Set of rules • Standardized data definitions • Harmonized data model • Proof of concept for the data transfer
  • 23. www.industrialdataspace.org // 23  Several research and technology organisations (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 RTOs) STRONGLY ENGAGED IN EUROPE AND WORKING TOWARDS IDSA HUBS
  • 24. www.industrialdataspace.org // 24 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 2018 with multiple use cases
  • 25. // 25 THORSTEN HUELSMANN DIRECTOR INDUSTRIAL DATA SPACE ASSOCIATION www.linkedin.com/in/thorstenhuelsmannecm de.slideshare.net/ThorstenHuelsmann Joseph-von-Fraunhofer-Str. 2-4 44227 Dortmund | Germany +49 231 9743 619 info@industrialdataspace.org @ids_association #industrialdataspace www.industrialdataspace.org Ressource Hub – Press Area – Blog
  • 26. www.industrialdataspace.org // 26 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
  • 27. 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