SlideShare una empresa de Scribd logo
1 de 26
Descargar para leer sin conexión
FRAUNHOFER – SINTEF
TOWARDS AN INITIATIVE ON DATA
SOVEREIGNTY IN EUROPE
Ernst H. Kristiansen, SINTEF
Thorsten Huelsmann, Fraunhofer, IDSA
September 29th, Berlin
The Fraunhofer-Gesellschaft at a Glance
24,000 staff
More than 70%
is derived from contracts
with industry and from
publicly financed research
projects.
Almost 30%
is contributed by the
German federal and
Länder Governments.
67 institutes and research units
Financevolume
€2.1 billion
2015
ContractResearch
€1.8
billion
Major infrastructure capital
expenditure and defense
research
Contract research in Fraunhofer
2011 – 2015 in € million
>10 Mio €
8-10 Mio €
4-8 Mio €
1-4 Mio €
107 Mio €
Boston
Plymouth
East Lansing
San José
Newark
College Park
Santiago de Chile
Salvador
São Paulo
Campinas
Dubai
Bangalore
Jakarta
Singapore
Beijing Seoul
Tokyo
Sendai
Cairo
Brussels
Porto
Vienna
Bolzano
Graz
Budapest
Wrocław
Gothenburg
Glasgow
Paris
Southampton
 Niederlassung
 Center
 Project Center
 ICON / Strategische Kooperation
 Repräsentanz- / Marketingbüro
 Senior Advisor
Fraunhofer International activities
revenues worldwide, 2014, without subsidiaries, without licensing)
Stellenbosch
Dublin
Osaka
Pretoria
LondonHamilton
Vancouver
Jerusalem
Zur Lavon
Kuala Lumpur
Fraunhofer fields of research
Health and Environment
Communication and Knowledge
Production and Supply of Services
Mobility and Transport
Energy and Resources
Security and Protection
SINTEF is Scandinavia's largest
independent research organization
70
Nationalities
3800
Customers
2000
Employees
NOK 3,2 billion
Revenues
NOK 500 MILL
International sales
More than 90 percent of SINTEFs income
comes from contracts won in open
competition
Business and industry, Norway: 50%
Project grants from The Research Council of Norway: 18%
International contracts: 16%
Basic grants from The Research Council of Norway: 7%
Public-sector contracts: 7%
Other sources: 2%
Total
NOK 3162 MILL
Applied research, technology and innovation
Buildings and
infrastructure
ICTClimate and environment
Industry
Oil and gas
Ocean space
Society
Microtechnology
and nanotechnology
Health and welfare Biotechnology
Renewable energy Materials
Expertise from ocean space to outer space:
Common projects in H2020
• German beneficiaries participate i 2451 projects
• Norwegian beneficiaries participate in 431 projects
• 279 projects are in common with Germany and Norway
• Fraunhofer has 34 projects with Norwegian partners
• SINTEF has 41 projects with German partners
• Fraunhofer and SINTEF have 11 projects in common
• There are 14 companies (9 DE, 5 NO), 6 universities (4 DE, 2 NO) and
10 research centers (all DE) participating in one of the projects.
8
Source: eCorda june 2016
Industrial Data Space is in line with
European Research strategy
• Open Innovation
• This is the main principle of working for Fraunhofer, SINTEF and the other RTOs
• Open Science
• FAIR data (Findable, Accessible, Interoperable and Re-useable)
• Open to the world
• A basis for connecting the Internet of Things and smart services
9
// 10
INDUSTRIAL DATA SPACE
POSITIONING IN THE
DIGITAL ECONOMY
1
www.industrialdataspace.org // 11
INTERNET OF THINGS AND SMART SERVICES
Industrial Data Space –
a basis for connecting the
Internet of Things and smart
services
www.industrialdataspace.org // 12Bildquellen: otto.de (2015), techglam.com
(2015), soccerreviews.com (2015)
NEW BUSINESS MODELS
Time
Hybridity
1
Physical
Product
(running shoes)
»Classic
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 // 13
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 // 14
SQUARING THE CIRCLE CONCERNING THE
MANAGEMENT OF DATA
Interoperability
Data Exchange
»Sharing Economy«
Data Centered
Services
Data Ownership
Data Control
Data Value
Digital Sovereignty is the ability of a natural or legal person to an exclusive self-
determination concerning the economic resource of data
www.industrialdataspace.org // 15
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
www.industrialdataspace.org // 16
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.
// 17
INDUSTRIAL DATA SPACE
THE USER ASSOCIATION
2
www.industrialdataspace.org // 18
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 // 19
• 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
BUNDLING OF INTERESTS
www.industrialdataspace.org // 20
Local Provider
planned
Country
Spain
Italy
FUTURE IDS-HUBS IN EUROPE
Local Provider
confirmed
Country
Norway
Netherlands
Finnland
Irland
Spain
Spain
www.industrialdataspace.org // 21
ORGANISATION
INDUSTRIAL DATA SPACE ASSOCIATION
Working Groups
• Architecture
• User Requirements
• Standardisation
• Market Exploration
• …
Member Companies
40 companies and
associations
(as of September 2016)
Head Office
• Membership Management
• Internationalisation
• Knowledge Transfer
• Marketing and
Communication
• Organisation
Executive Board
Advisory Board
Technical Advisory Board
Nine work packages
• IDS Architecture
• Software Implementation
• Use Cases
• Standardisation
• Certification
• Digital Business
Engineering
• Recommendations for
Action
• Institutionalisation
• Project Management
Use Case Advisory Board
Steering Committee
Use Cases
EU-Projects
(Member
Companies,
Member RTOs)
National-Projects
(Member
Companies,
Member RTOs)
BMBF-Research
Project
(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
// 23
INDUSTRIAL DATA SPACE
ARCHITECTURE AND
FUNCTION
3
www.industrialdataspace.org // 24
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 // 25
FUTURE ACTIVITIES
NORWEGIAN - GERMAN COOPERATION
• Identify and bundle requirements (Use Cases)
• 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)
Energy Business
Common use of status
data for the predictive
maintenance of wind
power stations
Networked Factories
Platform integration of
production facilities or
digital networking of
production lines.
Life Sciences
Design of a jointly used
data platform for the
development of medical
and pharmaceutical
products
High Performance
Supply Chains
Exchange of status and
quality data for transport
goods along the entire
supply chain
// 26
CONTACT
THORSTEN HUELSMANN
+49 231 9743 619
INFO@INDUSTRIALDATASPACE.ORG
TILL C. LECH
+47 922 40 884
TILL.LECH@SINTEF.NO
ERNST H. KRISTIANSEN
+47 922 40 884
ERNST.KRISTIANSEN@SINTEF.NO
PROF. DR. BORIS OTTO
+49 231 9743 655
BORIS.OTTO@IML.FRAUNHOFER.DE

Más contenido relacionado

La actualidad más candente

Towards a Connected World of Supply Chain - Industrie 4.0
Towards a Connected World of Supply Chain - Industrie 4.0Towards a Connected World of Supply Chain - Industrie 4.0
Towards a Connected World of Supply Chain - Industrie 4.0Sarathy Kalaichelvan
 
Industry 4.0: Smart Service with InsideOut Ecosystem
Industry 4.0: Smart Service with InsideOut EcosystemIndustry 4.0: Smart Service with InsideOut Ecosystem
Industry 4.0: Smart Service with InsideOut EcosystemDr. Paul Gromball
 
Enabling the Industry 4.0 vision: Hype? Real Opportunity!
Enabling the Industry 4.0 vision: Hype? Real Opportunity!Enabling the Industry 4.0 vision: Hype? Real Opportunity!
Enabling the Industry 4.0 vision: Hype? Real Opportunity!Boris Otto
 
Lange - Industrial Data Space – Digital Sovereignty over Data
Lange - Industrial Data Space – Digital Sovereignty over DataLange - Industrial Data Space – Digital Sovereignty over Data
Lange - Industrial Data Space – Digital Sovereignty over DataVienna Data Science Group
 
The case for 3D printing in the Always-On supply chain
The case for 3D printing in the Always-On supply chainThe case for 3D printing in the Always-On supply chain
The case for 3D printing in the Always-On supply chainMarc-Andre Leger
 
Digital Transformation, Industry 4.0 and the Internet of Things: attempt of a...
Digital Transformation, Industry 4.0 and the Internet of Things: attempt of a...Digital Transformation, Industry 4.0 and the Internet of Things: attempt of a...
Digital Transformation, Industry 4.0 and the Internet of Things: attempt of a...Prof. Dr. Manfred Leisenberg
 
Beyond the Vision: Realizing the Promise of Industry 4.0
Beyond the Vision: Realizing the Promise of Industry 4.0Beyond the Vision: Realizing the Promise of Industry 4.0
Beyond the Vision: Realizing the Promise of Industry 4.0Cognizant
 
Meetup #3 - Cyber-physical view of the Internet of Everything
Meetup #3 - Cyber-physical view of the Internet of EverythingMeetup #3 - Cyber-physical view of the Internet of Everything
Meetup #3 - Cyber-physical view of the Internet of EverythingFrancesco Rago
 
Shared Digital Twins: Collaboration in Ecosystems
Shared Digital Twins: Collaboration in EcosystemsShared Digital Twins: Collaboration in Ecosystems
Shared Digital Twins: Collaboration in EcosystemsBoris Otto
 
Industry 4.0 A Great Future
Industry 4.0 A Great FutureIndustry 4.0 A Great Future
Industry 4.0 A Great FutureSuraj Biswas
 
Industry 4.0 : Digital Reinvention in Manufacturing Industry
Industry 4.0 : Digital Reinvention in Manufacturing IndustryIndustry 4.0 : Digital Reinvention in Manufacturing Industry
Industry 4.0 : Digital Reinvention in Manufacturing IndustryEthan Chee
 
International Data Spaces: Data Sovereignty and Interoperability for Business...
International Data Spaces: Data Sovereignty and Interoperability for Business...International Data Spaces: Data Sovereignty and Interoperability for Business...
International Data Spaces: Data Sovereignty and Interoperability for Business...Boris Otto
 
Workplace-based Learning in Industry 4.0 -- Multi-perspective approaches and ...
Workplace-based Learning in Industry 4.0 -- Multi-perspective approaches and ...Workplace-based Learning in Industry 4.0 -- Multi-perspective approaches and ...
Workplace-based Learning in Industry 4.0 -- Multi-perspective approaches and ...Carsten Ullrich
 
Industry 4.0 technologies and their applications in fighting COVID-19 pandemic
Industry 4.0 technologies and their applications in fighting COVID-19 pandemicIndustry 4.0 technologies and their applications in fighting COVID-19 pandemic
Industry 4.0 technologies and their applications in fighting COVID-19 pandemicMileyJames
 
COMPONENTS OF INDUSTRY 4.0
COMPONENTS OF INDUSTRY 4.0COMPONENTS OF INDUSTRY 4.0
COMPONENTS OF INDUSTRY 4.0JerishAmul
 
IBM Industrie 4.0 journey @CeBIT
IBM Industrie 4.0 journey @CeBITIBM Industrie 4.0 journey @CeBIT
IBM Industrie 4.0 journey @CeBITPlamen Kiradjiev
 
Business Ecosystems in the Factory of the Future
Business Ecosystems in the Factory of the FutureBusiness Ecosystems in the Factory of the Future
Business Ecosystems in the Factory of the FutureStefan Ferber
 

La actualidad más candente (20)

Towards a Connected World of Supply Chain - Industrie 4.0
Towards a Connected World of Supply Chain - Industrie 4.0Towards a Connected World of Supply Chain - Industrie 4.0
Towards a Connected World of Supply Chain - Industrie 4.0
 
Industry 4.0: Smart Service with InsideOut Ecosystem
Industry 4.0: Smart Service with InsideOut EcosystemIndustry 4.0: Smart Service with InsideOut Ecosystem
Industry 4.0: Smart Service with InsideOut Ecosystem
 
Enabling the Industry 4.0 vision: Hype? Real Opportunity!
Enabling the Industry 4.0 vision: Hype? Real Opportunity!Enabling the Industry 4.0 vision: Hype? Real Opportunity!
Enabling the Industry 4.0 vision: Hype? Real Opportunity!
 
Lange - Industrial Data Space – Digital Sovereignty over Data
Lange - Industrial Data Space – Digital Sovereignty over DataLange - Industrial Data Space – Digital Sovereignty over Data
Lange - Industrial Data Space – Digital Sovereignty over Data
 
The case for 3D printing in the Always-On supply chain
The case for 3D printing in the Always-On supply chainThe case for 3D printing in the Always-On supply chain
The case for 3D printing in the Always-On supply chain
 
Digital Transformation, Industry 4.0 and the Internet of Things: attempt of a...
Digital Transformation, Industry 4.0 and the Internet of Things: attempt of a...Digital Transformation, Industry 4.0 and the Internet of Things: attempt of a...
Digital Transformation, Industry 4.0 and the Internet of Things: attempt of a...
 
Beyond the Vision: Realizing the Promise of Industry 4.0
Beyond the Vision: Realizing the Promise of Industry 4.0Beyond the Vision: Realizing the Promise of Industry 4.0
Beyond the Vision: Realizing the Promise of Industry 4.0
 
Meetup #3 - Cyber-physical view of the Internet of Everything
Meetup #3 - Cyber-physical view of the Internet of EverythingMeetup #3 - Cyber-physical view of the Internet of Everything
Meetup #3 - Cyber-physical view of the Internet of Everything
 
Trends in-industrie-40
Trends in-industrie-40Trends in-industrie-40
Trends in-industrie-40
 
Industry 4.0
Industry 4.0Industry 4.0
Industry 4.0
 
Shared Digital Twins: Collaboration in Ecosystems
Shared Digital Twins: Collaboration in EcosystemsShared Digital Twins: Collaboration in Ecosystems
Shared Digital Twins: Collaboration in Ecosystems
 
Industry 4.0 A Great Future
Industry 4.0 A Great FutureIndustry 4.0 A Great Future
Industry 4.0 A Great Future
 
Industry 4.0 : Digital Reinvention in Manufacturing Industry
Industry 4.0 : Digital Reinvention in Manufacturing IndustryIndustry 4.0 : Digital Reinvention in Manufacturing Industry
Industry 4.0 : Digital Reinvention in Manufacturing Industry
 
International Data Spaces: Data Sovereignty and Interoperability for Business...
International Data Spaces: Data Sovereignty and Interoperability for Business...International Data Spaces: Data Sovereignty and Interoperability for Business...
International Data Spaces: Data Sovereignty and Interoperability for Business...
 
Workplace-based Learning in Industry 4.0 -- Multi-perspective approaches and ...
Workplace-based Learning in Industry 4.0 -- Multi-perspective approaches and ...Workplace-based Learning in Industry 4.0 -- Multi-perspective approaches and ...
Workplace-based Learning in Industry 4.0 -- Multi-perspective approaches and ...
 
Industry 4.0 technologies and their applications in fighting COVID-19 pandemic
Industry 4.0 technologies and their applications in fighting COVID-19 pandemicIndustry 4.0 technologies and their applications in fighting COVID-19 pandemic
Industry 4.0 technologies and their applications in fighting COVID-19 pandemic
 
COMPONENTS OF INDUSTRY 4.0
COMPONENTS OF INDUSTRY 4.0COMPONENTS OF INDUSTRY 4.0
COMPONENTS OF INDUSTRY 4.0
 
IBM Industrie 4.0 journey @CeBIT
IBM Industrie 4.0 journey @CeBITIBM Industrie 4.0 journey @CeBIT
IBM Industrie 4.0 journey @CeBIT
 
India industry 4.0
India industry 4.0India industry 4.0
India industry 4.0
 
Business Ecosystems in the Factory of the Future
Business Ecosystems in the Factory of the FutureBusiness Ecosystems in the Factory of the Future
Business Ecosystems in the Factory of the Future
 

Similar a Fraunhofer – SINTEF: towards an initiative on Data Sovereignty in Europe

Data Sovereignty - Call for an International Effort
Data Sovereignty - Call for an International EffortData Sovereignty - Call for an International Effort
Data Sovereignty - Call for an International EffortBoris Otto
 
Idsa, smau, milano, 2019 10-24
Idsa, smau, milano, 2019 10-24Idsa, smau, milano, 2019 10-24
Idsa, smau, milano, 2019 10-24Nadia Fabrizio
 
Industrial Data Space
Industrial Data SpaceIndustrial Data Space
Industrial Data SpaceBoris Otto
 
Breaking up the silos - Utilizing data across companies and domains - Reflect...
Breaking up the silos - Utilizing data across companies and domains - Reflect...Breaking up the silos - Utilizing data across companies and domains - Reflect...
Breaking up the silos - Utilizing data across companies and domains - Reflect...Symposium on Society 5.0
 
Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...
Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...
Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...WMG, University of Warwick
 
2019 06-19 EIT Digital industry event
2019 06-19 EIT Digital industry event 2019 06-19 EIT Digital industry event
2019 06-19 EIT Digital industry event MIDIH_EU
 
Open Data Hub - Giulia Giussani - A look into the future of data sharing
Open Data Hub - Giulia Giussani - A look into the future of data sharingOpen Data Hub - Giulia Giussani - A look into the future of data sharing
Open Data Hub - Giulia Giussani - A look into the future of data sharingSouth Tyrol Free Software Conference
 
A Indústria 4.0 na Alemanha: há lições úteis para o Brasil? - NORBERT LÜTKE-E...
A Indústria 4.0 na Alemanha: há lições úteis para o Brasil? - NORBERT LÜTKE-E...A Indústria 4.0 na Alemanha: há lições úteis para o Brasil? - NORBERT LÜTKE-E...
A Indústria 4.0 na Alemanha: há lições úteis para o Brasil? - NORBERT LÜTKE-E...Fundação Fernando Henrique Cardoso
 
EU DATA SP4CE - FIWARE_Sommer.pptx
EU DATA SP4CE - FIWARE_Sommer.pptxEU DATA SP4CE - FIWARE_Sommer.pptx
EU DATA SP4CE - FIWARE_Sommer.pptxFIWARE
 
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech Expo
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech ExpoCurrent state of industrial IoT / Industrie 4.0 markets - IoT Tech Expo
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech ExpoKnud Lasse Lueth
 
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech Expo
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech ExpoCurrent state of industrial IoT / Industrie 4.0 markets - IoT Tech Expo
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech ExpoIoTAnalytics
 
Europe rules – making the fair data economy flourish
Europe rules – making the fair data economy flourishEurope rules – making the fair data economy flourish
Europe rules – making the fair data economy flourishSitra / Hyvinvointi
 
Eco-Systems for Smart Cities based on Open Urban Platforms
Eco-Systems for Smart Cities based on Open Urban PlatformsEco-Systems for Smart Cities based on Open Urban Platforms
Eco-Systems for Smart Cities based on Open Urban PlatformsOpen & Agile Smart Cities
 
How Does Integrated Industry Help Partners and Customers of a Business ?
How Does Integrated Industry Help Partners and Customers of a Business ?How Does Integrated Industry Help Partners and Customers of a Business ?
How Does Integrated Industry Help Partners and Customers of a Business ?HARTING India Pvt Ltd
 
20140130_MARKET PLACE_CATALOGUE_ICT
20140130_MARKET PLACE_CATALOGUE_ICT20140130_MARKET PLACE_CATALOGUE_ICT
20140130_MARKET PLACE_CATALOGUE_ICTRedit
 
Software-Cluster: Introduction by Prof. Rombach, Speaker of the Software-Cluster
Software-Cluster: Introduction by Prof. Rombach, Speaker of the Software-ClusterSoftware-Cluster: Introduction by Prof. Rombach, Speaker of the Software-Cluster
Software-Cluster: Introduction by Prof. Rombach, Speaker of the Software-ClusterElisabethStemmler
 
2019 04-30 MIDIH solutions and DIHIWARE platform
2019 04-30 MIDIH solutions and DIHIWARE platform2019 04-30 MIDIH solutions and DIHIWARE platform
2019 04-30 MIDIH solutions and DIHIWARE platformMIDIH_EU
 
EOSC-DIH: Bringing industry into the EOSC
EOSC-DIH: Bringing industry into the EOSCEOSC-DIH: Bringing industry into the EOSC
EOSC-DIH: Bringing industry into the EOSCEOSC-hub project
 
Industry of Things World 2016 - Post Event Reports
Industry of Things World 2016 - Post Event ReportsIndustry of Things World 2016 - Post Event Reports
Industry of Things World 2016 - Post Event ReportsRamona Kohrs
 

Similar a Fraunhofer – SINTEF: towards an initiative on Data Sovereignty in Europe (20)

Data Sovereignty - Call for an International Effort
Data Sovereignty - Call for an International EffortData Sovereignty - Call for an International Effort
Data Sovereignty - Call for an International Effort
 
Idsa, smau, milano, 2019 10-24
Idsa, smau, milano, 2019 10-24Idsa, smau, milano, 2019 10-24
Idsa, smau, milano, 2019 10-24
 
Industrial Data Space
Industrial Data SpaceIndustrial Data Space
Industrial Data Space
 
Breaking up the silos - Utilizing data across companies and domains - Reflect...
Breaking up the silos - Utilizing data across companies and domains - Reflect...Breaking up the silos - Utilizing data across companies and domains - Reflect...
Breaking up the silos - Utilizing data across companies and domains - Reflect...
 
Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...
Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...
Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...
 
Industry 4.0
Industry 4.0Industry 4.0
Industry 4.0
 
2019 06-19 EIT Digital industry event
2019 06-19 EIT Digital industry event 2019 06-19 EIT Digital industry event
2019 06-19 EIT Digital industry event
 
Open Data Hub - Giulia Giussani - A look into the future of data sharing
Open Data Hub - Giulia Giussani - A look into the future of data sharingOpen Data Hub - Giulia Giussani - A look into the future of data sharing
Open Data Hub - Giulia Giussani - A look into the future of data sharing
 
A Indústria 4.0 na Alemanha: há lições úteis para o Brasil? - NORBERT LÜTKE-E...
A Indústria 4.0 na Alemanha: há lições úteis para o Brasil? - NORBERT LÜTKE-E...A Indústria 4.0 na Alemanha: há lições úteis para o Brasil? - NORBERT LÜTKE-E...
A Indústria 4.0 na Alemanha: há lições úteis para o Brasil? - NORBERT LÜTKE-E...
 
EU DATA SP4CE - FIWARE_Sommer.pptx
EU DATA SP4CE - FIWARE_Sommer.pptxEU DATA SP4CE - FIWARE_Sommer.pptx
EU DATA SP4CE - FIWARE_Sommer.pptx
 
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech Expo
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech ExpoCurrent state of industrial IoT / Industrie 4.0 markets - IoT Tech Expo
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech Expo
 
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech Expo
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech ExpoCurrent state of industrial IoT / Industrie 4.0 markets - IoT Tech Expo
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech Expo
 
Europe rules – making the fair data economy flourish
Europe rules – making the fair data economy flourishEurope rules – making the fair data economy flourish
Europe rules – making the fair data economy flourish
 
Eco-Systems for Smart Cities based on Open Urban Platforms
Eco-Systems for Smart Cities based on Open Urban PlatformsEco-Systems for Smart Cities based on Open Urban Platforms
Eco-Systems for Smart Cities based on Open Urban Platforms
 
How Does Integrated Industry Help Partners and Customers of a Business ?
How Does Integrated Industry Help Partners and Customers of a Business ?How Does Integrated Industry Help Partners and Customers of a Business ?
How Does Integrated Industry Help Partners and Customers of a Business ?
 
20140130_MARKET PLACE_CATALOGUE_ICT
20140130_MARKET PLACE_CATALOGUE_ICT20140130_MARKET PLACE_CATALOGUE_ICT
20140130_MARKET PLACE_CATALOGUE_ICT
 
Software-Cluster: Introduction by Prof. Rombach, Speaker of the Software-Cluster
Software-Cluster: Introduction by Prof. Rombach, Speaker of the Software-ClusterSoftware-Cluster: Introduction by Prof. Rombach, Speaker of the Software-Cluster
Software-Cluster: Introduction by Prof. Rombach, Speaker of the Software-Cluster
 
2019 04-30 MIDIH solutions and DIHIWARE platform
2019 04-30 MIDIH solutions and DIHIWARE platform2019 04-30 MIDIH solutions and DIHIWARE platform
2019 04-30 MIDIH solutions and DIHIWARE platform
 
EOSC-DIH: Bringing industry into the EOSC
EOSC-DIH: Bringing industry into the EOSCEOSC-DIH: Bringing industry into the EOSC
EOSC-DIH: Bringing industry into the EOSC
 
Industry of Things World 2016 - Post Event Reports
Industry of Things World 2016 - Post Event ReportsIndustry of Things World 2016 - Post Event Reports
Industry of Things World 2016 - Post Event Reports
 

Más de Thorsten Huelsmann

Establishing data sharing standards to promote global industry development
Establishing data sharing standards to promote global industry developmentEstablishing data sharing standards to promote global industry development
Establishing data sharing standards to promote global industry developmentThorsten Huelsmann
 
EffizienzCluster Management GmbH
EffizienzCluster Management GmbHEffizienzCluster Management GmbH
EffizienzCluster Management GmbHThorsten Huelsmann
 
Digital Hub Dortmund - A Digital Innovation Hub on Enabling Technologies in L...
Digital Hub Dortmund - A Digital Innovation Hub on Enabling Technologies in L...Digital Hub Dortmund - A Digital Innovation Hub on Enabling Technologies in L...
Digital Hub Dortmund - A Digital Innovation Hub on Enabling Technologies in L...Thorsten Huelsmann
 
EffizienzCluster Management - Die Innovationsprozessbegleiter
EffizienzCluster Management - Die InnovationsprozessbegleiterEffizienzCluster Management - Die Innovationsprozessbegleiter
EffizienzCluster Management - Die InnovationsprozessbegleiterThorsten Huelsmann
 
Digital Hub Logistics Dortmund as Cluster Upgrade
Digital Hub Logistics Dortmund as Cluster UpgradeDigital Hub Logistics Dortmund as Cluster Upgrade
Digital Hub Logistics Dortmund as Cluster UpgradeThorsten Huelsmann
 
Industrie 4.0 – Angebote für den Mittelstand
Industrie 4.0 – Angebote für den MittelstandIndustrie 4.0 – Angebote für den Mittelstand
Industrie 4.0 – Angebote für den MittelstandThorsten Huelsmann
 
Logistics 4.0 and the Internet of Things
Logistics 4.0 and the Internet of ThingsLogistics 4.0 and the Internet of Things
Logistics 4.0 and the Internet of ThingsThorsten Huelsmann
 

Más de Thorsten Huelsmann (7)

Establishing data sharing standards to promote global industry development
Establishing data sharing standards to promote global industry developmentEstablishing data sharing standards to promote global industry development
Establishing data sharing standards to promote global industry development
 
EffizienzCluster Management GmbH
EffizienzCluster Management GmbHEffizienzCluster Management GmbH
EffizienzCluster Management GmbH
 
Digital Hub Dortmund - A Digital Innovation Hub on Enabling Technologies in L...
Digital Hub Dortmund - A Digital Innovation Hub on Enabling Technologies in L...Digital Hub Dortmund - A Digital Innovation Hub on Enabling Technologies in L...
Digital Hub Dortmund - A Digital Innovation Hub on Enabling Technologies in L...
 
EffizienzCluster Management - Die Innovationsprozessbegleiter
EffizienzCluster Management - Die InnovationsprozessbegleiterEffizienzCluster Management - Die Innovationsprozessbegleiter
EffizienzCluster Management - Die Innovationsprozessbegleiter
 
Digital Hub Logistics Dortmund as Cluster Upgrade
Digital Hub Logistics Dortmund as Cluster UpgradeDigital Hub Logistics Dortmund as Cluster Upgrade
Digital Hub Logistics Dortmund as Cluster Upgrade
 
Industrie 4.0 – Angebote für den Mittelstand
Industrie 4.0 – Angebote für den MittelstandIndustrie 4.0 – Angebote für den Mittelstand
Industrie 4.0 – Angebote für den Mittelstand
 
Logistics 4.0 and the Internet of Things
Logistics 4.0 and the Internet of ThingsLogistics 4.0 and the Internet of Things
Logistics 4.0 and the Internet of Things
 

Último

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxRemote DBA Services
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...apidays
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdfSandro Moreira
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 

Último (20)

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 

Fraunhofer – SINTEF: towards an initiative on Data Sovereignty in Europe

  • 1. FRAUNHOFER – SINTEF TOWARDS AN INITIATIVE ON DATA SOVEREIGNTY IN EUROPE Ernst H. Kristiansen, SINTEF Thorsten Huelsmann, Fraunhofer, IDSA September 29th, Berlin
  • 2. The Fraunhofer-Gesellschaft at a Glance 24,000 staff More than 70% is derived from contracts with industry and from publicly financed research projects. Almost 30% is contributed by the German federal and Länder Governments. 67 institutes and research units Financevolume €2.1 billion 2015 ContractResearch €1.8 billion Major infrastructure capital expenditure and defense research Contract research in Fraunhofer 2011 – 2015 in € million
  • 3. >10 Mio € 8-10 Mio € 4-8 Mio € 1-4 Mio € 107 Mio € Boston Plymouth East Lansing San José Newark College Park Santiago de Chile Salvador São Paulo Campinas Dubai Bangalore Jakarta Singapore Beijing Seoul Tokyo Sendai Cairo Brussels Porto Vienna Bolzano Graz Budapest Wrocław Gothenburg Glasgow Paris Southampton  Niederlassung  Center  Project Center  ICON / Strategische Kooperation  Repräsentanz- / Marketingbüro  Senior Advisor Fraunhofer International activities revenues worldwide, 2014, without subsidiaries, without licensing) Stellenbosch Dublin Osaka Pretoria LondonHamilton Vancouver Jerusalem Zur Lavon Kuala Lumpur
  • 4. Fraunhofer fields of research Health and Environment Communication and Knowledge Production and Supply of Services Mobility and Transport Energy and Resources Security and Protection
  • 5. SINTEF is Scandinavia's largest independent research organization 70 Nationalities 3800 Customers 2000 Employees NOK 3,2 billion Revenues NOK 500 MILL International sales
  • 6. More than 90 percent of SINTEFs income comes from contracts won in open competition Business and industry, Norway: 50% Project grants from The Research Council of Norway: 18% International contracts: 16% Basic grants from The Research Council of Norway: 7% Public-sector contracts: 7% Other sources: 2% Total NOK 3162 MILL
  • 7. Applied research, technology and innovation Buildings and infrastructure ICTClimate and environment Industry Oil and gas Ocean space Society Microtechnology and nanotechnology Health and welfare Biotechnology Renewable energy Materials Expertise from ocean space to outer space:
  • 8. Common projects in H2020 • German beneficiaries participate i 2451 projects • Norwegian beneficiaries participate in 431 projects • 279 projects are in common with Germany and Norway • Fraunhofer has 34 projects with Norwegian partners • SINTEF has 41 projects with German partners • Fraunhofer and SINTEF have 11 projects in common • There are 14 companies (9 DE, 5 NO), 6 universities (4 DE, 2 NO) and 10 research centers (all DE) participating in one of the projects. 8 Source: eCorda june 2016
  • 9. Industrial Data Space is in line with European Research strategy • Open Innovation • This is the main principle of working for Fraunhofer, SINTEF and the other RTOs • Open Science • FAIR data (Findable, Accessible, Interoperable and Re-useable) • Open to the world • A basis for connecting the Internet of Things and smart services 9
  • 10. // 10 INDUSTRIAL DATA SPACE POSITIONING IN THE DIGITAL ECONOMY 1
  • 11. www.industrialdataspace.org // 11 INTERNET OF THINGS AND SMART SERVICES Industrial Data Space – a basis for connecting the Internet of Things and smart services
  • 12. www.industrialdataspace.org // 12Bildquellen: otto.de (2015), techglam.com (2015), soccerreviews.com (2015) NEW BUSINESS MODELS Time Hybridity 1 Physical Product (running shoes) »Classic 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
  • 13. www.industrialdataspace.org // 13 DATA AS STRATEGIC RESOURCES SMART SERVICES Modern data management interconnects what is offered with how it is produced and delivered in the digitalized world
  • 14. www.industrialdataspace.org // 14 SQUARING THE CIRCLE CONCERNING THE MANAGEMENT OF DATA Interoperability Data Exchange »Sharing Economy« Data Centered Services Data Ownership Data Control Data Value Digital Sovereignty is the ability of a natural or legal person to an exclusive self- determination concerning the economic resource of data
  • 15. www.industrialdataspace.org // 15 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
  • 16. www.industrialdataspace.org // 16 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.
  • 17. // 17 INDUSTRIAL DATA SPACE THE USER ASSOCIATION 2
  • 18. www.industrialdataspace.org // 18 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
  • 19. www.industrialdataspace.org // 19 • 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 BUNDLING OF INTERESTS
  • 20. www.industrialdataspace.org // 20 Local Provider planned Country Spain Italy FUTURE IDS-HUBS IN EUROPE Local Provider confirmed Country Norway Netherlands Finnland Irland Spain Spain
  • 21. www.industrialdataspace.org // 21 ORGANISATION INDUSTRIAL DATA SPACE ASSOCIATION Working Groups • Architecture • User Requirements • Standardisation • Market Exploration • … Member Companies 40 companies and associations (as of September 2016) Head Office • Membership Management • Internationalisation • Knowledge Transfer • Marketing and Communication • Organisation Executive Board Advisory Board Technical Advisory Board Nine work packages • IDS Architecture • Software Implementation • Use Cases • Standardisation • Certification • Digital Business Engineering • Recommendations for Action • Institutionalisation • Project Management Use Case Advisory Board Steering Committee Use Cases EU-Projects (Member Companies, Member RTOs) National-Projects (Member Companies, Member RTOs) BMBF-Research Project (Fraunhofer)
  • 22. • 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
  • 23. // 23 INDUSTRIAL DATA SPACE ARCHITECTURE AND FUNCTION 3
  • 24. www.industrialdataspace.org // 24 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.
  • 25. www.industrialdataspace.org // 25 FUTURE ACTIVITIES NORWEGIAN - GERMAN COOPERATION • Identify and bundle requirements (Use Cases) • 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) Energy Business Common use of status data for the predictive maintenance of wind power stations Networked Factories Platform integration of production facilities or digital networking of production lines. Life Sciences Design of a jointly used data platform for the development of medical and pharmaceutical products High Performance Supply Chains Exchange of status and quality data for transport goods along the entire supply chain
  • 26. // 26 CONTACT THORSTEN HUELSMANN +49 231 9743 619 INFO@INDUSTRIALDATASPACE.ORG TILL C. LECH +47 922 40 884 TILL.LECH@SINTEF.NO ERNST H. KRISTIANSEN +47 922 40 884 ERNST.KRISTIANSEN@SINTEF.NO PROF. DR. BORIS OTTO +49 231 9743 655 BORIS.OTTO@IML.FRAUNHOFER.DE