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

WHY WE NEED A EUROPEAN INITIATIVE ON DATA SOVEREIGNTYTHORSTEN HUELSMANN, MANAGING DIRECTOR, INDUSTRIAL DATA SPACE ASSOCIATION

INTRODUCING INDUSTRIAL DATA SPACE

// 2

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


DATA AS STRATEGIC RESOURCESSMART SERVICES

Modern data management

interconnects what is

offered with how it is

produced and delivered in

the digitalized world


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.

// 8

INDUSTRIAL DATA SPACETHE USER ASSOCIATION

2


• 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

https://de.wikipedia.org/wiki/Datei:Logo_SICK_AG_2009.svg

https://de.wikipedia.org/wiki/Datei:Logo_SICK_AG_2009.svg


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„


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

”


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


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


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


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


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.

// 18

INDUSTRIAL DATA SPACEARCHITECTURE AND

FUNCTION

3


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.


REFERENCE ARCHITECTURE MODELBLUEPRINT FOR DIGITAL ECOSYSTEMS

Business architecture

Data andservicearchitecture

Software architecture

Securityarchitecture

Reference Architecture

Model


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


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


• 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


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)


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


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


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


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.


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


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

// 33

CONTACTHEAD OFFICE

JOSEPH-VON-FRAUNHOFER-STR. 2-444227 DORTMUND, GERMANY

+49 231 9743 [email protected]

WWW.INDUSTRIALDATASPACE.ORG