INDUSTRIAL DATA SPACE DATA SOVEREIGNTY

Transcription

1 INDUSTRIAL DATA SPACE DATA SOVEREIGNTY

2 INDUSTRIAL DATA SPACE POSITIONING IN THE DIGITAL ECONOMY 1 SHORT DESCRIPTION // 2

3 INTERNET OF THINGS AND SMART SERVICES Industrial Data Space a basis for connecting the Internet of Things and smart services Source: Industrial Data Space, Fraunhofer IML, Dortmund // 3

4 Hybridität NEW BUSINESS MODELS 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: 1 Physical Product (running shoes)»classic Services«(training monitor) Digital Services (Social Network Integration) 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 Zeit Source: otto.de (2015), techglam.com (2015), soccerreviews.com (2015) // 4

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 Source: Otto, Auer & Jürjens et al. (2016): Whitepaper zum IDS, Fraunhofer-Gesellschaft, München // 5

6 INDUSTRIAL DATA SPACE NETWORK OF TRUSTED DATA Trust Certified Participants Decentral Approach distributed architecture Sovereignty over data and services Open Approach Neutral and user-driven Economies of scale Networking effects Security Data exchange Network of platforms and services Data Governance rules of the game // 6

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 Trust 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). 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 MOTIVATION WHY DOES INDUSTRY NEED THE INDUSTRIAL DATA SPACE? One of the essential elements behind digital transformation in industry is the exchange of data and services between industrial companies. Benefit: by networking companies, exchanging data between companies and integrating publicly available data, added value is generated in the form of new products and smart services. This means that 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. Foto Accenture

9 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 // 9

10 COLLABORATION WITH PLATTFORM INDUSTRIE 4.0 FOCUS ON DATA Insurance 4.0 Industrial Data Space Focus on Data Industrie 4.0 Retail4.0 Banking 4.0 Focus on manufacturing industry Smart Services Data Transfer and networks Real time systems The development and promotion of the Industrial Data Space are being conducted in close cooperation with Plattform Industrie 4.0 initiative. Source: Otto, Auer & Jürjens et al. (2016): Whitepaper zum IDS, Fraunhofer-Gesellschaft, München // 10

11 INDUSTRIAL DATA SPACE ARCHITECTURE AND FUNCTION 2 SHORT DESCRIPTION // 11

12 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. Source: Industrial Data Space, Fraunhofer IML, Dortmund // 12

13 REFERENZARCHITEKTURMODELL BLAUPAUSE FÜR DIGITALE ÖKOSYSTEME Business architecture Data and service architecture Reference Architecture Model Software architecture Security architecture Source: Industrial Data Space, Fraunhofer IML, Dortmund // 13

14 Architecture level ARCHITECTURE FOR DATA AND DATA SERVICES FOCUS ON BASIC AND ADDED VALUE SERVICES Smart-Service-Scenarios Automobile Manufacturers Electronics and IT Services Logistics Mechanical & Plant Engineering Pharmaceutical & Medical Supplies Service and product innovations»smart Data Services«(alerting, monitoring, data quality etc.) INDUSTRIAL DATA SPACE»Basic Data Services«(information fusion, mapping, aggregation etc.) Internet of Things broad band infrastructure 5G Real Time Area sensors, actuators, devices // 14

15 RANGE OF FUNCTIONS BUSINESS MAP OF BASIS SERVICES Industrial Data Space App Store Industrial Data Space Broker Industrial Data Space Connector Basic Data Services Provisioning Data Provenance Reporting Data Transformation Data Curation Data Anonymization Data Source Management Data Source Publication Data Source Maintenance Version Controlling Data Exchange Execution Data Service Management and Use Data Service Publication Data Service Search Data Service Request Data Service Subscription Data Source Search Key Word Search Taxonomy Search Multi-criteria Search Data Request from Certified Endpoint Usage Information Maintenance (Expiration etc.) Data Mapping (from Source to Target Schema) Secure Data Transmission between Trusted Endpoints Vocabulary Management Vocabulary Creation Collaborative Vocabulary Maintenance Vocabulary/Schema Matching Knowledge Database Management Data Exchange Agreement»One Click«Agreement Data Source Subscription Data Preprocessing Software Injection Preprocessing Software Deployment and Execution at Trusted Endpoint Software Curation Software Quality and Security Testing Data Exchange Monitoring Transaction Accounting Data Exchange Clearing Data Usage Reporting Remote Software Execution Data Compliance Monitoring (Usage Restrictions etc.) Remote Attestation Endpoint Authentication // 15

16 ECOSYSTEM INDUSTRIAL DATA SPACE ROLES AND ACTORS 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 Source: Otto, Auer & Jürjens et al. (2016): Whitepaper zum IDS, Fraunhofer-Gesellschaft, München // 16

17 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) // 17

18 USE CASES INDUSTRIAL DATA SPACE IN ACTION Use Case Company 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) Broker-based design of supply chains Atos Inbound and outbound logistics with control of Bayer AG parameters 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 facility Festo Localisation of containers and alerts Wacker Chemie // 18

19 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 Quelle: Fraunhofer IPA // 19

20 INDUSTRIAL DATA SPACE THE USER ASSOCIATION 3 // 20

21 INDUSTRIAL DATA SPACE ASSOCIATION TASKS AND MEMBERS 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 // 21

22 INDUSTRIAL DATA SPACE ASSOCIATION SELF-PERCEPTION 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 e.v. 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. // 22

23 MISSION STATEMENT DIGITAL TRANSFORMATION DR. REINHOLD ACHATZ Chairman of the Board of Industrial Data Space e. V. CTO and Head of Corporate Function Technology, Innovation & Sustainability at thyssenkrupp AG Digital transformation and Industry 4.0 are key success factors for companies in Germany. The association ensures that the specific interests of the industry contribute to the research work. At the same time, companies will have faster access to the results from the Industrial Data Space research project and be able to implement them faster too. // 23

24 ORGANISATION Advisory Board INDUSTRIAL DATA SPACE ASSOCIATION Executive Board Member Companies 22 companies and associations (as April 2016) BMBF-Research Project (Fraunhofer) Steering Committee Technical Advisory Board Use Case Advisory Board Use Cases Office Member Management Internationalisation Knowledge Transfer Marketing and Communication Organisation Working Groups Architecture User Requirements Standardisation Market Exploration More Nine work packages IDS Architecture Software Implementation Use Cases Standardisation Certification Digital Business Engineering Recommendations for Action Institutionalisation Project Management // 24

25 Go to market (continuously) SYNERGIES BETWEEN THE WORKING GROUPS SUBTOPIC Market Specific requirements of member companies are implemented as pilots Market requirements are registered, structured and implemented within the architecture Use Cases Working Group User Requirements Working Group Architecture Applicable elements are checked with respect to commercialisation and possible certification and standardisation Working Group Market Exploration Development of business models Real time testing of lessons learned and releases from the research project Validation of the functions in the business map Continuous refilling of product backlogs Agile architecture releases Working Group Standardisation Development - participating in the development of standards Research Project IDS // 25

26 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 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 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 // 26

27 SCOPE FOR 2016 ACTIVITIES Found the association Set up the office/agency Positioning 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 // 27

28 BECOME A MEMBER PROCEDURE INFORMATION APPLICATION ADMITTANCE MEMBERSHIP Website White paper Briefing and information events Articles of the association and membership fee regulations Fill in a membership application Send the application to IDS e. V. central office: info@industrialdataspace.org IDS e.v board vote to admit new members Working groups Use cases Events Business models // 28

29 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 // 29

30 HOW YOU CAN GET INVOLVED Use Cases Piloting, applying and testing Industrial Data Space Implementing requirements in the development of the architecture Development of Smart Services Workings groups Participation in working groups Regular exchange with all member companies Dealing jointly with problems concerning data exchange Exchange of information Transferring the content of the research project Common events Networking events Organisation of marketing activities/fairs Processing Development of business models in the IDS Innovation camp Development of common user models Architecture Support to help design the reference architecture Contribution of companyspecific know-how Standardisation/ Certification Defining and implementing standards Designing certification measures Foto Christian Rolfes/Ford

31 CENTRAL OFFICE CONTACT POINT FOR ALL MEMBERS! 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 Director of the central office Ina Brendt Marketing and Communication Thorsten Hülsmann Director of the central office Sebastian Kleff Business Development & Networking // 31

32 INDUSTRIAL DATA SPACE WHITEPAPER Whitepaper 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. // 32

33 HEAD OFFICE JOSEPH-VON-FRAUNHOFER-STR DORTMUND CONTACT // 33