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WHY WE NEED A EUROPEAN INITIATIVE ON DATA SOVEREIGNTY
THORSTEN HUELSMANN, MANAGING DIRECTOR, INDUSTRIAL DATA SPACE ASSOCIATION
INTRODUCING INDUSTRIAL DATA SPACE
// 2
INDUSTRIAL DATA SPACE
POSITIONING IN THE
DIGITAL ECONOMY
1
www.industrialdataspace.org // 3
INTERNET OF THINGS AND SMART SERVICES
Industrial Data Space –
a basis for connecting the
Internet of Things and smart
services
www.industrialdataspace.org // 4Source: otto.de (2015), techglam.com
(2015), soccerreviews.com (2015)
NEW BUSINESS MODELS
Time
Hybridity
1
P hysical
P roduct
(running
shoes )
»C lassic
Services«
(training
monitor)
Digital
Services
(Social
Network
Integration)
2
3
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”.
Digital services follow common architecture principles:
• 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
www.industrialdataspace.org // 5
DATA AS STRATEGIC RESOURCES
SMART SERVICES
Modern data management
interconnects what is
offered with how it is
produced and delivered in
the digitalized world
www.industrialdataspace.org // 6
INDUSTRIAL DATA SPACE
NETWORK OF TRUSTED DATA
Sovereignty
over data
and services
Trust
Certified
Participants
Decentral
Approach
distributed
architecture Security
of data exchanges
Data Governance
“rules of
the game”
Economies of
scale
Networking
effects
Open
Approach
Neutral and
user-driven
Network
of platforms
and services
BASIC PRINCIPLES
Network of Trusted Data
Digital Sovereignty The data owner specifies the terms and conditions of the data provided (terms and conditions can simply
be “attached” to the respective data)
Secure Data Supply Chain Data exchange is secure along the entire supply chain, i.e. from data creation or data capture to data use
Easy Linkage of Data Linked-data-concepts and common vocabularies facilitate the integration of data between participants in
Industrial Data Space.
Data Economy Data is viewed as an economic asset. It can be divided into three categories: private data, so-called “club
data” (i.e. data belonging to a specific value added chain which is available to selected companies only)
and public data (weather information, traffic, geo data, etc).
Trust All participants, data sources and data services in Industrial Data Space are certified according to jointly
defined rules.
Decentral Data Management Data can be decentral and stay with the data owner, if so wished.
Data Governance Participants jointly decide on data management processes and on rights and duties.
// 8
INDUSTRIAL DATA SPACE
THE USER ASSOCIATION
2
www.industrialdataspace.org // 9
• Exchanging experience between business
and science
• Developing new business models
• Standardisation and certification
• Implementing application-oriented,
cross-industry projects
• Pooling user requirements and use cases
• Representing interests at an international
level
INDUSTRIAL DATA SPACE ASSOCIATION
TASKS AND MEMBERS
www.industrialdataspace.org // 10
IDS stands for safer data exchange between companies where the
producer of data remains the owner of the data and maintains
sovereignty over the use of that data.
IDS Association aims to define the conditions and governance for a
reference architecture and interfaces aiming at international
standards.
This standard is actively developed and updated on the basis of use
cases. It forms the basis for a number of certified software
solutions and business models, the development of which is
fostered by the association.
INDUSTRIAL DATA SPACE ASSOCIATION
SELF-PERCEPTION
„
www.industrialdataspace.org // 11
DR. REINHOLD ACHATZ
Chairman of the Board of IndustrialData Space Association
CTO and Head of Corporate Function Technology, Innovation &
Sustainability at thyssenkrupp AG
MISSION STATEMENT
” Digital transformation and “Industry 4.0”
are key success factors for companies in
Europe.
The association ensures that the specific
interests of the industry contribute to
applied research.
At the same time, companies will have faster
access to the results from the Industrial
Data Space research projects and be able to
implement them faster too.
DIGITAL TRANSFORMATION
”
www.industrialdataspace.org // 12
ORGANISATION
INDUSTRIAL DATA SPACE ASSOCIATION
Working Groups
• A rchitecture
• U ser Requirements
• Standardisation
• M arket Exploration
• …
Member Companies
28 companies and
associations
(as July 2016)
Head Office
• M embership M anagement
• Internationalisation
• Knowledge T ransfer
• M arketing and
C ommunication
• O rganisation
Executive Board BMBF-Research
Project
(Fraunhofer)
Advisory Board
Technical Advisory Board
Nine work packages
• IDS A rchitecture
• Software Implementation
• U se C ases
• Standardisation
• C ertification
• Digital Business
Engineering
• Recommendations for
A ction
• Institutionalisation
• P roject M anagement
Use Case Advisory Board
Steering Committee
Use Cases
www.industrialdataspace.org // 13
SYNERGIES BETWEEN THE WORKING GROUPS
Market
Projects of Applied Research
Working
Group
U se C ases &
Requirements
Working
Group
A rchitecture
Working
Group
M arket
Exploration
Use Cases
Specific requirements of member
companies are implemented as pilots
Real time testing of lessons
learned and releases from
the research project
Market requirements are registered, structured and implemented
within the architecture
Applicable elements are
checked with respect to
commercialisation and
possible certification and
standardisation Development of
business models
Agile
architecture
releases
Working Group
Standardisation
Gotomarket
(continuously)
Continuous
refilling of product
backlogs
Development - participating in the
development of standards
IDS
Validation of
the
functions in
the business
map
www.industrialdataspace.org // 14
THE BOARD
Chairman of the Board:
Dr. Reinhold Achatz, thyssenkrupp AG
Deputy Chairman of the Board:
Dr. Ralf Brunken, Volkswagen AG
Prof. Dr. Boris Otto, Fraunhofer IML
Treasurer:
Dr. Ralf-Peter Simon, KOMSA AG
Members of the Board:
Markus Vehlow, PwC AG
Ulrich Ahle, Atos GmbH
Dr. Robert Bauer, SICK AG
Prof. Dr. Stefan Wrobel, Fraunhofer IAIS
Heike Niederau-Buck, Salzgitter AG
At the founding of Industrial Data Space e.V. in Berlin: (from left to right) Markus
Vehlow, PwC; Dr. Ralf-Peter Simon, KOMSA AG; Dr. Robert Bauer, SICK; Heike
Niederau-Buck, Salzgitter; Dr. Ralf Brunken, Volkswagen; Prof. Dr. Boris Otto,
Fraunhofer IML; Prof. Dr. Reimund Neugebauer, Fraunhofer-Gesellschaft; Dr.
Reinhold Achatz, thyssenkrupp; Ulrich Ahle, ATOS. © Photo: Matthias Heyde/Fraunhofer
• Exchange of data and services between industrial companies is
essential element of digital transformation
• Added value is generated in the form of new products and smart
services by networking companies, exchanging data between
companies and integrating publicly available data
• New, digital business models are also possible in conventional
industries
• This guarantees the competitiveness of industrial companies and
their independence from IT companies
• Data security and trust in secure data exchange are essential
prerequisites here
MOTIVATION
WHY DOES INDUSTRY
NEED THE INDUSTRIAL
DATA SPACE?
Foto © Accenture
www.industrialdataspace.org // 16
USE CASES FOR INDUSTRIAL DATA SPACE
VERTICAL COOPERATION
Material Sciences Energy Business Life Sciences
High Performance
Supply Chains
Traffic
Management
Exchange of material
and material
properties over the
entire life cycle from
product creation
through to scrapping
Common use of
status data for the
predictive
maintenance of wind
power stations
Design of a jointly
used data platform
for the development
of medical and
pharmaceutical
products
Exchange of status
and quality data for
transport goods
along the entire
supply chain
Use of traffic
management data for
innovative digital
services inside the
vehicle and for
controlling traffic flow
www.industrialdataspace.org // 17
COLLABORATION WITH „PLATTFORM INDUSTRIE 4.0“
FOCUS ON DATA
Retail4.0 Banking 4.0Insurance
4.0
…
Industrie 4.0
Focus on
manufacturing
industry
Smart Services
Transfer and
networks
Real time
systems
Industrial Data Space
Focus on Data
Data
…
The development and
promotion of the
Industrial Data Space are
being conducted in close
cooperation with
„Plattform Industrie 4.0“
initiative.
// 18
INDUSTRIAL DATA SPACE
ARCHITECTURE AND
FUNCTION
3
www.industrialdataspace.org // 19
REFERENCE ARCHITECTURE MODEL
BLUEPRINT FOR DIGITAL ECOSYSTEMS
 Software components enable
all stakeholders (defined
roles) to participate in IDS
 The quantity of all (external)
IDS connectors defines
Industrial Data Space
 Internal IDS connectors are
used to link data sources in
the company, to transform
and to improve them.
www.industrialdataspace.org // 20
REFERENCE ARCHITECTURE MODEL
BLUEPRINT FOR DIGITAL ECOSYSTEMS
Business
architecture
Data and
service
architecture
Software
architecture
Security
architecture
Reference
Architecture
Model
www.industrialdataspace.org // 21
ARCHITECTURE FOR DATA AND DATA SERVICES
FOCUS ON BASIC AND ADDED VALUE SERVICES
Automobile
Manufacturers
Electronics
and IT Services Logistics
Mechanical &
Plant Engineering
Pharmaceutical &
Medical Supplies
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
www.industrialdataspace.org // 22
RANGE OF FUNCTIONS
BUSINESS MAP OF BASIS SERVICES
Industrial Data Space
App Store
Basic Data Services
Provisioning
Data Service
Management and Use
Vocabulary Management Software Curation
Data Provenance Reporting
Data Transformation
Data Curation
Data Anonymization
Data Service Publication
Data Service Search
Data Service Request
Data Service Subscription
Vocabulary Creation
Collaborative Vocabulary
Maintenance
Vocabulary/Schema
Matching
Knowledge Database
Management
Software Quality and
Security Testing
Industrial Data Space
Broker
Data Source
Management
Data Source Search Data Exchange
Agreement
Data Exchange
Monitoring
Data Source Publication
Data Source Maintenance
Version Controlling
Key Word Search
Taxonomy Search
Multi-criteria Search
»One Click« Agreement
Data Source Subscription
Transaction Accounting
Data Exchange Clearing
Data Usage Reporting
Industrial Data Space
Connector
Data Exchange Execution Data Preprocessing
Software Injection
Remote Software Execution
Data Request from Certified Endpoint
Usage Information Maintenance (Expiration etc.)
Data Mapping (from Source to Target Schema)
Secure Data Transmission between Trusted
Endpoints
Preprocessing Software
Deployment and
Execution at Trusted
Endpoint
Data Compliance Monitoring (Usage
Restrictions etc.)
Remote Attestation
Endpoint Authentication
www.industrialdataspace.org // 23
• The Industrial Data Space specifies all roles and actors
of the ecosystems
• In addition to data providers and data consumers there
are operators of brokers and App stores
• All actors oblige themselves to play by the rules of IDS
• Actors and technical components are to be certified
ECOSYSTEM INDUSTRIAL DATA SPACE
ROLES AND ACTORS
www.industrialdataspace.org // 24
ECOSYSTEM - INDUSTRIAL DATA SPACE
FOUR BASIC ROLES
Data Owner Data User Broker Certification point
• Provides data
• Operates own
endpoint in Industrial
Data Space or
through a service
provider
• Determines terms of
service and prices for
data
• Uses data to offer
services
or for internal
purposes
• Keeps the terms of
data services
• Brings together
data owner and user
• Operates
»Data register«
• Takes on tasks for
monitoring and
clearing
• Certifies
participants
in accordance with the
standards of
Industrial Data Space
(i.e. security, terms of
service, standards)
www.industrialdataspace.org // 25
USE CASES
INDUSTRIAL DATA SPACE IN ACTION Use Case Company
Broker-based design of supply chains Atos
Inbound and outbound logistics with control of
parameters
Bayer AG
Industrial SiteNavigation Bayer AG
Data Space for Clinical Data Boehringer-Ingelheim
Data Space for HCP/HCO Data Boehringer-Ingelheim
TraQ: Trackingquality with sensors Robert Bosch GmbH
Product Data Exchange Robert Bosch GmbH
Digital networkingof a production line Schaeffler
Coaster SICK
Smart Sensor Intelligence SICK
Timeframe management ThyssenKrupp AG
Upstream Supply Chain Volkswagen
Transparency in Outbound Volkswagen
Downstream Supply Chain Volkswagen
Platformintegration of a production facility Festo
Localisation of containers and alerts Wacker Chemie
• Identify and bundle requirements
• Active design and validation of services and
functionalities of Industrial Data Space by
the users
• Demonstrate innovations based on
Industrial Data Space
• Demonstrate and integrate existing
standardisation plans
• Develop a prototype reference for the
participating companies
• Potential core of an ecosystem by
integrating further partners (also from
different domains)
www.industrialdataspace.org // 26Quelle: Fraunhofer IPA
USE CASES
CHARACTERISTICS OF IDEAL USE CASES
Ideal use cases:
• Link data from several data sources
• Integrate various kinds of data
(for example master data and status data in manufacturing)
• Combine various data goods
(private and public data, »club goods«)
• Involve at least two companies
• Integrate more than two company architecture levels
(for example »shop floor« and »office floor«)
• Basis for offering »smart services«
• Develop core components/basic services
www.industrialdataspace.org // 27
SCOPE FOR 2016
ACTIVITIES
• Establish a Working
Group for user
requirements and a
WG for Architecture
• Develop the
association strategy
• Basic marketing
activities
• Start topic of commercialisation (individual working
group)
• Networking and internationalisation
• Implementation of growth and marketing strategy,
in particular internal and external events
• Accelerate the work on the use cases
• Task forces certification, EU, Asia
Q1 Q2 Q3 Q4
• Found the
association
• Set up the
office/agency
• Positioning
www.industrialdataspace.org // 28
BECOME A MEMBER
MEMBERSHIP FEES
Type of organisation Annual turnover [million.
EUR] (for corporate group)
Annual fee [EUR]
Company from 10,000 35,000
from 2,500 to under 10,000 25,000
from 500 to under 2,500 15,000
from 50 to under 500 7,500
under 50 2,500
Universities, non-commercial
institutions, associations etc.
- 1,000*
* each university, RTO or association should acquire min. three company members
HOW YOU CAN GET INVOLVED
• Piloting, applying and testing
Industrial Data Space
• Implementing requirements
in the development of the
architecture
• Development of Smart Services
Use Cases
ArchitectureProcessing
• Support to help design the
reference architecture
• Contribution of company-
specific know-how
Workings groups
• Participation in working groups
• Regular exchange with all
member companies
• Dealing jointly with problems
concerning data exchange
• Development of business models
in the IDS
• Innovation camp
• Development of common user
models
Exchange of information
• Transferring the content of the
research project
• Common events
Networking events
• Organisation of marketing
activities/fairs
Standardisation/
Certification
• Defining and implementing
standards
• Designing certification
measures
Foto © Christian Rolfes/Ford
www.industrialdataspace.org // 30
INDUSTRIAL DATA SPACE
WHITEPAPER
Whitepaper
http://s.fhg.de/white-paper-industrial-data-space
This white paper gives an overview on aims and architecture
of the Industrial Data Space. Additionally, some use case and
the Industrial Data Space User Association are introduced.
www.industrialdataspace.org // 31
BECOME A MEMBER
PROCEDURE
• Website
• White paper
• Briefing and information
events
• Articles of the association and
membership fee regulations
INFORMATION APPLICATION
• Fill in a membership
application
• Send the application to
IDSA Head Office:
info@industrialdataspace.org
ADMITTANCE
• IDSA board vote to
admit new
members
• Working groups
• Use cases
• Events
• Business models
• …
MEMBERSHIP
1 2 3 4
www.industrialdataspace.org // 32
HEAD OFFICE
CONTACT POINT FOR ALL MEMBERS!
Ina Brendt
Marketing and
Communication
Sebastian Kleff
Business Development &
Networking
Thorsten Hülsmann
Managing Director, Finance,
Internationalisation
Services and activities:
• Linking research projects and industry
• Coordinating use cases
• Member management
• Coordinating the working groups
• Support for business model development
• Public funding advice and syndication
• Marketing, public relations
• Finances, accounting, book-keeping
• Internationalisation
• Continuing education activities
Lars Nagel
Managing Director, Content,
Knowledge
// 33
CONTACTHEAD OFFICE
JOSEPH-VON-FRAUNHOFER-STR. 2-4
44227 DORTMUND, GERMANY
+49 231 9743 619
INFO@INDUST RIALDATASPACE.ORG
WWW.INDUSTRIALDATASPACE.ORG

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Industrial Data Space - Why we need a European Initiative on Data Sovereignty

  • 1. WHY WE NEED A EUROPEAN INITIATIVE ON DATA SOVEREIGNTY THORSTEN HUELSMANN, MANAGING DIRECTOR, INDUSTRIAL DATA SPACE ASSOCIATION INTRODUCING INDUSTRIAL DATA SPACE
  • 2. // 2 INDUSTRIAL DATA SPACE POSITIONING IN THE DIGITAL ECONOMY 1
  • 3. www.industrialdataspace.org // 3 INTERNET OF THINGS AND SMART SERVICES Industrial Data Space – a basis for connecting the Internet of Things and smart services
  • 4. www.industrialdataspace.org // 4Source: otto.de (2015), techglam.com (2015), soccerreviews.com (2015) NEW BUSINESS MODELS Time Hybridity 1 P hysical P roduct (running shoes ) »C lassic Services« (training monitor) Digital Services (Social Network Integration) 2 3 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”. Digital services follow common architecture principles: • 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
  • 5. www.industrialdataspace.org // 5 DATA AS STRATEGIC RESOURCES SMART SERVICES Modern data management interconnects what is offered with how it is produced and delivered in the digitalized world
  • 6. www.industrialdataspace.org // 6 INDUSTRIAL DATA SPACE NETWORK OF TRUSTED DATA Sovereignty over data and services Trust Certified Participants Decentral Approach distributed architecture Security of data exchanges Data Governance “rules of the game” Economies of scale Networking effects Open Approach Neutral and user-driven Network of platforms and services
  • 7. BASIC PRINCIPLES Network of Trusted Data Digital Sovereignty The data owner specifies the terms and conditions of the data provided (terms and conditions can simply be “attached” to the respective data) Secure Data Supply Chain Data exchange is secure along the entire supply chain, i.e. from data creation or data capture to data use Easy Linkage of Data Linked-data-concepts and common vocabularies facilitate the integration of data between participants in Industrial Data Space. Data Economy Data is viewed as an economic asset. It can be divided into three categories: private data, so-called “club data” (i.e. data belonging to a specific value added chain which is available to selected companies only) and public data (weather information, traffic, geo data, etc). Trust All participants, data sources and data services in Industrial Data Space are certified according to jointly defined rules. Decentral Data Management Data can be decentral and stay with the data owner, if so wished. Data Governance Participants jointly decide on data management processes and on rights and duties.
  • 8. // 8 INDUSTRIAL DATA SPACE THE USER ASSOCIATION 2
  • 9. www.industrialdataspace.org // 9 • Exchanging experience between business and science • Developing new business models • Standardisation and certification • Implementing application-oriented, cross-industry projects • Pooling user requirements and use cases • Representing interests at an international level INDUSTRIAL DATA SPACE ASSOCIATION TASKS AND MEMBERS
  • 10. www.industrialdataspace.org // 10 IDS stands for safer data exchange between companies where the producer of data remains the owner of the data and maintains sovereignty over the use of that data. IDS Association aims to define the conditions and governance for a reference architecture and interfaces aiming at international standards. This standard is actively developed and updated on the basis of use cases. It forms the basis for a number of certified software solutions and business models, the development of which is fostered by the association. INDUSTRIAL DATA SPACE ASSOCIATION SELF-PERCEPTION „
  • 11. www.industrialdataspace.org // 11 DR. REINHOLD ACHATZ Chairman of the Board of IndustrialData Space Association CTO and Head of Corporate Function Technology, Innovation & Sustainability at thyssenkrupp AG MISSION STATEMENT ” Digital transformation and “Industry 4.0” are key success factors for companies in Europe. The association ensures that the specific interests of the industry contribute to applied research. At the same time, companies will have faster access to the results from the Industrial Data Space research projects and be able to implement them faster too. DIGITAL TRANSFORMATION ”
  • 12. www.industrialdataspace.org // 12 ORGANISATION INDUSTRIAL DATA SPACE ASSOCIATION Working Groups • A rchitecture • U ser Requirements • Standardisation • M arket Exploration • … Member Companies 28 companies and associations (as July 2016) Head Office • M embership M anagement • Internationalisation • Knowledge T ransfer • M arketing and C ommunication • O rganisation Executive Board BMBF-Research Project (Fraunhofer) Advisory Board Technical Advisory Board Nine work packages • IDS A rchitecture • Software Implementation • U se C ases • Standardisation • C ertification • Digital Business Engineering • Recommendations for A ction • Institutionalisation • P roject M anagement Use Case Advisory Board Steering Committee Use Cases
  • 13. www.industrialdataspace.org // 13 SYNERGIES BETWEEN THE WORKING GROUPS Market Projects of Applied Research Working Group U se C ases & Requirements Working Group A rchitecture Working Group M arket Exploration Use Cases Specific requirements of member companies are implemented as pilots Real time testing of lessons learned and releases from the research project Market requirements are registered, structured and implemented within the architecture Applicable elements are checked with respect to commercialisation and possible certification and standardisation Development of business models Agile architecture releases Working Group Standardisation Gotomarket (continuously) Continuous refilling of product backlogs Development - participating in the development of standards IDS Validation of the functions in the business map
  • 14. www.industrialdataspace.org // 14 THE BOARD Chairman of the Board: Dr. Reinhold Achatz, thyssenkrupp AG Deputy Chairman of the Board: Dr. Ralf Brunken, Volkswagen AG Prof. Dr. Boris Otto, Fraunhofer IML Treasurer: Dr. Ralf-Peter Simon, KOMSA AG Members of the Board: Markus Vehlow, PwC AG Ulrich Ahle, Atos GmbH Dr. Robert Bauer, SICK AG Prof. Dr. Stefan Wrobel, Fraunhofer IAIS Heike Niederau-Buck, Salzgitter AG At the founding of Industrial Data Space e.V. in Berlin: (from left to right) Markus Vehlow, PwC; Dr. Ralf-Peter Simon, KOMSA AG; Dr. Robert Bauer, SICK; Heike Niederau-Buck, Salzgitter; Dr. Ralf Brunken, Volkswagen; Prof. Dr. Boris Otto, Fraunhofer IML; Prof. Dr. Reimund Neugebauer, Fraunhofer-Gesellschaft; Dr. Reinhold Achatz, thyssenkrupp; Ulrich Ahle, ATOS. © Photo: Matthias Heyde/Fraunhofer
  • 15. • Exchange of data and services between industrial companies is essential element of digital transformation • Added value is generated in the form of new products and smart services by networking companies, exchanging data between companies and integrating publicly available data • New, digital business models are also possible in conventional industries • This guarantees the competitiveness of industrial companies and their independence from IT companies • Data security and trust in secure data exchange are essential prerequisites here MOTIVATION WHY DOES INDUSTRY NEED THE INDUSTRIAL DATA SPACE? Foto © Accenture
  • 16. www.industrialdataspace.org // 16 USE CASES FOR INDUSTRIAL DATA SPACE VERTICAL COOPERATION Material Sciences Energy Business Life Sciences High Performance Supply Chains Traffic Management Exchange of material and material properties over the entire life cycle from product creation through to scrapping Common use of status data for the predictive maintenance of wind power stations Design of a jointly used data platform for the development of medical and pharmaceutical products Exchange of status and quality data for transport goods along the entire supply chain Use of traffic management data for innovative digital services inside the vehicle and for controlling traffic flow
  • 17. www.industrialdataspace.org // 17 COLLABORATION WITH „PLATTFORM INDUSTRIE 4.0“ FOCUS ON DATA Retail4.0 Banking 4.0Insurance 4.0 … Industrie 4.0 Focus on manufacturing industry Smart Services Transfer and networks Real time systems Industrial Data Space Focus on Data Data … The development and promotion of the Industrial Data Space are being conducted in close cooperation with „Plattform Industrie 4.0“ initiative.
  • 18. // 18 INDUSTRIAL DATA SPACE ARCHITECTURE AND FUNCTION 3
  • 19. www.industrialdataspace.org // 19 REFERENCE ARCHITECTURE MODEL BLUEPRINT FOR DIGITAL ECOSYSTEMS  Software components enable all stakeholders (defined roles) to participate in IDS  The quantity of all (external) IDS connectors defines Industrial Data Space  Internal IDS connectors are used to link data sources in the company, to transform and to improve them.
  • 20. www.industrialdataspace.org // 20 REFERENCE ARCHITECTURE MODEL BLUEPRINT FOR DIGITAL ECOSYSTEMS Business architecture Data and service architecture Software architecture Security architecture Reference Architecture Model
  • 21. www.industrialdataspace.org // 21 ARCHITECTURE FOR DATA AND DATA SERVICES FOCUS ON BASIC AND ADDED VALUE SERVICES Automobile Manufacturers Electronics and IT Services Logistics Mechanical & Plant Engineering Pharmaceutical & Medical Supplies 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
  • 22. www.industrialdataspace.org // 22 RANGE OF FUNCTIONS BUSINESS MAP OF BASIS SERVICES Industrial Data Space App Store Basic Data Services Provisioning Data Service Management and Use Vocabulary Management Software Curation Data Provenance Reporting Data Transformation Data Curation Data Anonymization Data Service Publication Data Service Search Data Service Request Data Service Subscription Vocabulary Creation Collaborative Vocabulary Maintenance Vocabulary/Schema Matching Knowledge Database Management Software Quality and Security Testing Industrial Data Space Broker Data Source Management Data Source Search Data Exchange Agreement Data Exchange Monitoring Data Source Publication Data Source Maintenance Version Controlling Key Word Search Taxonomy Search Multi-criteria Search »One Click« Agreement Data Source Subscription Transaction Accounting Data Exchange Clearing Data Usage Reporting Industrial Data Space Connector Data Exchange Execution Data Preprocessing Software Injection Remote Software Execution Data Request from Certified Endpoint Usage Information Maintenance (Expiration etc.) Data Mapping (from Source to Target Schema) Secure Data Transmission between Trusted Endpoints Preprocessing Software Deployment and Execution at Trusted Endpoint Data Compliance Monitoring (Usage Restrictions etc.) Remote Attestation Endpoint Authentication
  • 23. www.industrialdataspace.org // 23 • The Industrial Data Space specifies all roles and actors of the ecosystems • In addition to data providers and data consumers there are operators of brokers and App stores • All actors oblige themselves to play by the rules of IDS • Actors and technical components are to be certified ECOSYSTEM INDUSTRIAL DATA SPACE ROLES AND ACTORS
  • 24. www.industrialdataspace.org // 24 ECOSYSTEM - INDUSTRIAL DATA SPACE FOUR BASIC ROLES Data Owner Data User Broker Certification point • Provides data • Operates own endpoint in Industrial Data Space or through a service provider • Determines terms of service and prices for data • Uses data to offer services or for internal purposes • Keeps the terms of data services • Brings together data owner and user • Operates »Data register« • Takes on tasks for monitoring and clearing • Certifies participants in accordance with the standards of Industrial Data Space (i.e. security, terms of service, standards)
  • 25. www.industrialdataspace.org // 25 USE CASES INDUSTRIAL DATA SPACE IN ACTION Use Case Company Broker-based design of supply chains Atos Inbound and outbound logistics with control of parameters Bayer AG Industrial SiteNavigation Bayer AG Data Space for Clinical Data Boehringer-Ingelheim Data Space for HCP/HCO Data Boehringer-Ingelheim TraQ: Trackingquality with sensors Robert Bosch GmbH Product Data Exchange Robert Bosch GmbH Digital networkingof a production line Schaeffler Coaster SICK Smart Sensor Intelligence SICK Timeframe management ThyssenKrupp AG Upstream Supply Chain Volkswagen Transparency in Outbound Volkswagen Downstream Supply Chain Volkswagen Platformintegration of a production facility Festo Localisation of containers and alerts Wacker Chemie • Identify and bundle requirements • Active design and validation of services and functionalities of Industrial Data Space by the users • Demonstrate innovations based on Industrial Data Space • Demonstrate and integrate existing standardisation plans • Develop a prototype reference for the participating companies • Potential core of an ecosystem by integrating further partners (also from different domains)
  • 26. www.industrialdataspace.org // 26Quelle: Fraunhofer IPA USE CASES CHARACTERISTICS OF IDEAL USE CASES Ideal use cases: • Link data from several data sources • Integrate various kinds of data (for example master data and status data in manufacturing) • Combine various data goods (private and public data, »club goods«) • Involve at least two companies • Integrate more than two company architecture levels (for example »shop floor« and »office floor«) • Basis for offering »smart services« • Develop core components/basic services
  • 27. www.industrialdataspace.org // 27 SCOPE FOR 2016 ACTIVITIES • Establish a Working Group for user requirements and a WG for Architecture • Develop the association strategy • Basic marketing activities • Start topic of commercialisation (individual working group) • Networking and internationalisation • Implementation of growth and marketing strategy, in particular internal and external events • Accelerate the work on the use cases • Task forces certification, EU, Asia Q1 Q2 Q3 Q4 • Found the association • Set up the office/agency • Positioning
  • 28. www.industrialdataspace.org // 28 BECOME A MEMBER MEMBERSHIP FEES Type of organisation Annual turnover [million. EUR] (for corporate group) Annual fee [EUR] Company from 10,000 35,000 from 2,500 to under 10,000 25,000 from 500 to under 2,500 15,000 from 50 to under 500 7,500 under 50 2,500 Universities, non-commercial institutions, associations etc. - 1,000* * each university, RTO or association should acquire min. three company members
  • 29. HOW YOU CAN GET INVOLVED • Piloting, applying and testing Industrial Data Space • Implementing requirements in the development of the architecture • Development of Smart Services Use Cases ArchitectureProcessing • Support to help design the reference architecture • Contribution of company- specific know-how Workings groups • Participation in working groups • Regular exchange with all member companies • Dealing jointly with problems concerning data exchange • Development of business models in the IDS • Innovation camp • Development of common user models Exchange of information • Transferring the content of the research project • Common events Networking events • Organisation of marketing activities/fairs Standardisation/ Certification • Defining and implementing standards • Designing certification measures Foto © Christian Rolfes/Ford
  • 30. www.industrialdataspace.org // 30 INDUSTRIAL DATA SPACE WHITEPAPER Whitepaper http://s.fhg.de/white-paper-industrial-data-space This white paper gives an overview on aims and architecture of the Industrial Data Space. Additionally, some use case and the Industrial Data Space User Association are introduced.
  • 31. www.industrialdataspace.org // 31 BECOME A MEMBER PROCEDURE • Website • White paper • Briefing and information events • Articles of the association and membership fee regulations INFORMATION APPLICATION • Fill in a membership application • Send the application to IDSA Head Office: info@industrialdataspace.org ADMITTANCE • IDSA board vote to admit new members • Working groups • Use cases • Events • Business models • … MEMBERSHIP 1 2 3 4
  • 32. www.industrialdataspace.org // 32 HEAD OFFICE CONTACT POINT FOR ALL MEMBERS! Ina Brendt Marketing and Communication Sebastian Kleff Business Development & Networking Thorsten Hülsmann Managing Director, Finance, Internationalisation Services and activities: • Linking research projects and industry • Coordinating use cases • Member management • Coordinating the working groups • Support for business model development • Public funding advice and syndication • Marketing, public relations • Finances, accounting, book-keeping • Internationalisation • Continuing education activities Lars Nagel Managing Director, Content, Knowledge
  • 33. // 33 CONTACTHEAD OFFICE JOSEPH-VON-FRAUNHOFER-STR. 2-4 44227 DORTMUND, GERMANY +49 231 9743 619 INFO@INDUST RIALDATASPACE.ORG WWW.INDUSTRIALDATASPACE.ORG