industrial data space - why we need a european initiative on data sovereignty
TRANSCRIPT
WHY WE NEED A EUROPEAN INITIATIVE ON DATA SOVEREIGNTYTHORSTEN HUELSMANN, MANAGING DIRECTOR, INDUSTRIAL DATA SPACE ASSOCIATION
INTRODUCING INDUSTRIAL DATA SPACE
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INDUSTRIAL DATA SPACEPOSITIONING 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
Hybri
dity 1
Phys ical
P roduct
(running
shoes )
»C lassic
Services«
(training
monitor)
Digital
Services
(Soc ial
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 RESOURCESSMART 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 SPACENETWORK OF TRUSTED DATA
Sovereignty
over data
and services
TrustCertified
Participants
DecentralApproach
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.
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INDUSTRIAL DATA SPACETHE 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 ASSOCIATIONTASKS 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 ASSOCIATIONSELF-PERCEPTION„
www.industrialdataspace.org // 11
DR. REINHOLD ACHATZ
Chairman of the Board of Industrial Data 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
• User Requirements
• Standardisation
• Market Exploration
• …
Member Companies
28 companies and
associations
(as July 2016)
Head Off ice
• Membership Management
• Internationalisation
• Knowledge T ransfer
• Marketing and
C ommunication
• O rganisation
Executive Board BMBF-ResearchProject (Fraunhofer)
Advisory Board
Technical Advisory Board
Nine work packages
• IDS A rchitecture
• Software Implementation
• Use C ases
• Standardisation
• C ertification
• Digital Business
Engineering
• Recommendations for
A c tion
• Ins titutionalisation
• P rojec t Management
Use Case Advisory Board
Steering Committee
Use Cases
www.industrialdataspace.org // 13
SYNERGIES BETWEEN THE WORKING GROUPS
Market
Projects of Applied Research
Working
Group
Use C ases &
Requirements
Working
Group
A rchitecture
Working
Group
Market
ExplorationUse 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
Go t
o m
ark
et
(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
MOTIVATIONWHY DOES INDUSTRY
NEED THE INDUSTRIAL DATA SPACE?
Foto © Accenture
www.industrialdataspace.org // 16
USE CASES FOR INDUSTRIAL DATA SPACEVERTICAL COOPERATION
Material Sciences Energy Business Life SciencesHigh 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
industrySmart Services
Transfer andnetworks
Real time systems
Industrial Data SpaceFocus on Data
Data
…
The development and
promotion of the
Industrial Data Space are
being conducted in close
cooperation with
„Plattform Industrie 4.0“
initiative.
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INDUSTRIAL DATA SPACEARCHITECTURE AND
FUNCTION
3
www.industrialdataspace.org // 19
REFERENCE ARCHITECTURE MODELBLUEPRINT 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 MODELBLUEPRINT FOR DIGITAL ECOSYSTEMS
Business architecture
Data andservicearchitecture
Software architecture
Securityarchitecture
Reference Architecture
Model
www.industrialdataspace.org // 21
ARCHITECTURE FOR DATA AND DATA SERVICESFOCUS ON BASIC AND ADDED VALUE SERVICES
AutomobileManufacturers
Electronicsand 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
Arc
hit
ectu
rele
vel
INDUSTRIAL DATA SPACE
www.industrialdataspace.org // 22
RANGE OF FUNCTIONSBUSINESS MAP OF BASIS SERVICES
Industrial Data SpaceApp Store
Basic Data Services Provisioning
Data Service Management and Use
Vocabulary Management Software Curation
Data Provenance ReportingData TransformationData CurationData Anonymization
Data Service PublicationData Service SearchData Service RequestData Service Subscription
Vocabulary CreationCollaborative Vocabulary
MaintenanceVocabulary/Schema
MatchingKnowledge Database
Management
Software Quality and Security Testing
Industrial Data Space Broker
Data Source Management
Data Source Search Data Exchange Agreement
Data ExchangeMonitoring
Data Source PublicationData Source MaintenanceVersion Controlling
Key Word SearchTaxonomy SearchMulti-criteria Search
»One Click« AgreementData Source Subscription
Transaction AccountingData Exchange ClearingData Usage Reporting
Industrial Data Space Connector
Data Exchange Execution Data PreprocessingSoftware Injection
Remote Software Execution
Data Request from Certified EndpointUsage 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 AttestationEndpoint 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 SPACEROLES AND ACTORS
www.industrialdataspace.org // 24
ECOSYSTEM - INDUSTRIAL DATA SPACEFOUR 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 servicesor for internal purposes
• Keeps the terms of data services
• Brings togetherdata 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 CASESINDUSTRIAL DATA SPACE IN ACTION Use Case Company
Broker-based design of supply chains Atos
Inbound and outbound logistics with control ofparameters
Bayer AG
Industrial Site Navigation Bayer AG
Data Space for Clinical Data Boehringer-Ingelheim
Data Space for HCP/HCO Data Boehringer-Ingelheim
TraQ: Tracking quality with sensors Robert Bosch GmbH
Product Data Exchange Robert Bosch GmbH
Digital networking of 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
Platform integration of a production facil ity 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 CASESCHARACTERISTICS 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 2016ACTIVITIES
• 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 MEMBERMEMBERSHIP 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 SPACEWHITEPAPER
Whitepaper
http://s.fhg.de/white-paper-industrial-data-space
This white paper gives an overview on aims and architectureof the Industrial Data Space. Additionally, some use case and the Industrial Data Space User Association are introduced.
www.industrialdataspace.org // 31
BECOME A MEMBERPROCEDURE
• 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: [email protected]
ADMITTANCE
• IDSA board vote to
admit new
members
• Working groups
• Use cases
• Events
• Business models
• …
MEMBERSHIP1 2 3 4
www.industrialdataspace.org // 32
HEAD OFFICECONTACT 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
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CONTACTHEAD OFFICE
JOSEPH-VON-FRAUNHOFER-STR. 2-444227 DORTMUND, GERMANY
+49 231 9743 [email protected]
WWW.INDUSTRIALDATASPACE.ORG