TOWARDS AN EUROPEAN INDUSTRIAL DATA SPACE

THORSTEN HUELSMANN, INDUSTRIAL DATA SPACE ASSOCIATION

DATA SOVEREIGNTY IN NETWORKED VALUE CHAINS

www.industrialdataspace.org // 2

IN »DIGITISING EUROPEAN INDUSTRY« DATA IS A KEY RESOURCE FOR BUSINESS MODEL INNOVATION

»DigitisingEuropean Industry«

End-to-End

Customer Process

Hybrid Service

Offerings

Data-Centricity

Business Ecosystem

s

Digital Platforms

New Business Models

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AS A CONSEQUENCE OF »DIGITISING EUROPEAN INDUSTRY« THE DEMAND FOR TRANSPARENCY AND INTEROPERABILITY IN VALUE NETWORKS IS INCREASING

AN ECONOMIC ASSET

DATA

The key focus for a data-driven economy and

new business models is in linking data.

SENSOR DATAMATERIAL CHARACTERISTICSMOBILITY DATAFINANCIAL DATATECHNICAL DRAWINGS SUPPLY CHAIN DATA

Interoperability

Data Exchange

»Sharing Economy«

Data CentricServices

Data Ownership

Data Security

Data Value

WITHOUT REGRET

COMPANIES WANT TO LINK DATA

Interoperability

Data Exchange

»Sharing Economy«

Data CentricServices

Data Ownership

Data Security

Data Value

is the ability of a natural or legal person (=company) to exclusively

and sovereignly decide concerningthe usage of data as an economic

asset.

DIGITAL SOVEREIGNTY

BUT THERE ARE EXISTING CHALLENGES

„SQUARING THE CIRCLE“

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THE INDUSTRIAL DATA SPACE

MULTILATERAL – USAGE CONTROL – CONNECTING PLATFORMS AND CLOUDS

PLANNING, EXECUTION, CONTROL(MULTI-SIDED PLATFORMS)

YourCompany

Traffic Weather

OPEN CONTEXT DATA

Actors Sensors Machines

IoT Clouds

Domain specific platforms

Marketplaces

BrokerConsumerProduction

FIELD VIEW(FACTORY)

VALUE CHAIN

www.industrialdataspace.org // 8

80+Companies and

Organisations

5Working Groups

20+Use

Cases

1Ecosystem

=

www.industrialdataspace.org

INDUSTRIAL DATA SPACE APPROACH:

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SELF DETERMINED CONTROL OF DATA FLOWS

Endless Connectivity

standard for data flows between

all kinds of data endpoints

Trust between different security domains

Comprehensive security functions

providing a maximum level of trust

Governance for thedata economy

usage control and enforcement

for data flows

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ARCHITECTURE FOR DATA AND DATA SERVICESAN INFRASTRUCTURE FOR ALL INDUSTRIES AND DOMAINS

AutomotiveElectronics

and IT Logistics Retail and Food Health… (other Industries)

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

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INDUSTRIAL DATA SPACEP2P NETWORK OF TRUSTED DATA

Security

Data

exchange

TrustCertified

Participants

DecentralApproachdistributed architecture

Sovereigntyover data

and services

Data Governance

“rules of

the game”

Economies of scale

Networking effects

Open Approach

Neutral and user-driven Network

of platformsand services

All actors oblige

themselves to play by the

rules of Industrial Data

Space

Actors and technical

components are to be

certified

IDS provides usage control

for data and different tailor-made levels of trust

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A TRUSTED PEER TO PEER NETWORKFOR ALL INDUSTRIES TO SHARE DATA

Software components enable all

stakeholders (defined roles) to

participate in IDS

The quantity of all (external) IDS connectors defines the Industrial

Data Space

Internal IDS connectors are used

to link data sources in the

company, to transform and to improve them.

© Fraunhofer

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THE INDUSTRIAL DATA SPACE CONNECTS VARIOUS DIGITAL PLATFORMS AND THE INTERNET OF THINGS

© Fraunhofer, Boris Otto

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TO DO LISTINDUSTRY 4.0 AND DATA ECONOMY

Everything needs to be secure

• Authentification & Authorisation

• Usage Policies & Usage Enforcement

• Trustworthy Communication

• Security by Design

• Techn. Certification

SECURITY

Connection of every data endpoint

• Integration of existing vocabularies

• Using different data formats

• Connection of clouds and platforms

STANDARDIZEDCONNECTIVITY Data is being traded as an asset

• Clearing & Billing

• Domain specific Broker and Marketplaces

• Use Restrictions and Legal Aspects (Contract Templates, etc.)

DATA MARKETS

Being able to explain, find and

understand data

• Data source description

• Brokering

• Vocabulary

ECOSYSTEM OF DATA

Typical tasks can be solved

easier with apps

• Processing of Data

• Remote Execution

VALUE ADDING APPS

Trust is the basis of the IDS

• Identitymanagement

• User-certification

TRUST

1 2 3

4 5 6

www.industrialdataspace.org // 15Source: Fraunhofer – IDS internal documentation, tobe published in Reference Architecture 2018

DATA USAGE CONTROL

TECHNICAL ENFORCEMENT, ORGANIZATIONAL RULES, AND LEGAL CONTRACTS

Usage Control extends, substitutes, and completes organizational rules/legal contracts

Long term: replacement of organizational rules / legal contracts by technical enforcement

www.industrialdataspace.org // 16Source: Fraunhofer – IDS internal documentation, tobe published in Reference Architecture 2018

DATA USAGE CONTROLUSAGE CONTROL VS. ACCESS CONTROL

Usage Control – a generalization of access control

Fine-grained policies specify how data is handled after access has been granted

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MILESTONES REACHEDAND NEXT STEPS

ARCHITECTURE

Release of the

reference architecture

model 2.0 at

Hannover Fair

INTERNATIONAL

Members all over the world,

connected with important

industry eco-systems and

initiatives, major european

RTOs, intense engagement

in european research

activities.

STANDARD

Foundation of a

workinggroup at DIN to

create a specification for

the IDS connector (DIN

27070).

GO LIVE

Ecosystem potentially

running, first products,

enhancing global

adoption.

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USE CASES AND INNOVATION ACTIONS MAKE IT HAPPENADOPTION OF INDUSTRIAL DATA SPACE

Build up an ecosystem by integrating further partners (also from different domains)

Setup use cases to validate and

implement Industrial Data Space technology

Each member or projectof IDSA realizes businessdriven use cases

!

!+

++

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USE CASESOVERVIEW BY DOMAIN

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• Time Slot Management, Dynamic Estimated Time of Arrvial and Track & Trace

• Integrating all existing telematics systems

• Ensuring maximum connectivity to all logistics service providers

• Using GS1 EDI XML as common message standard

• Comprehensive status changes

DYNAMIC TIMESLOT

MANAGEMENT AND TRACKING

IN THE SUPPLY CHAIN

Benefits

+ Reducing traffic jams and out of stock situations

+ Time slot management in realtime

+ Better data quality for planning

USE CASES FOR AGILE USER-REQUIREMENTS ANDDIRECT INDUSTRY INVOLVEMENT

BROKER BASED DESIGN OF

SUPPLY CHAINS

• Small lot sizes make adhoc actions necessary

• Orchestration of all network partners (Logistic service providers) to fulfill orders

• Selforganisedconfiguration of a transportation order

• Tender management

+ Tailormade supply chains on demand

+ More transparency and options

Benefits

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Short Description

• Phase 1: Event based transfer of effected Supply Chain data

• Phase 2:Event based transfer of material flow data

COLLABORATIVE SUPPLY

CHAIN RISK MANAGEMENT

Benefits

+ On demand Supply Chain Transparency

+ Realtime Tracking and Tracing

+ Proactive Supply Chain Risk Management

Main Technology/IDS Components

• Internal and external IDS connector

• Vocabulary

• Bosch Tracking & Tracing

Partners/Ecosystem

• Logistics Service Provider (tbd.)

• Tier-2 Supplier (tbd.)

Targets

• Set of rules

• Standardized data definitions

• Harmonized data model

• Proof of concept for the data transfer

USE CASES FOR AGILE USER-REQUIREMENTS ANDDIRECT INDUSTRY INVOLVEMENT

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PUBLICATIONSLATEST DOCUMENTS

Reference ArchitectureModel on Industrial Data Space

Study with PwC on Data Exchange

Strategy Paper Certification

Use Case Overview

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!THORSTEN HUELSMANN

INDUSTRIAL DATA SPACE ASSOCIATION

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

+49 231 9743 619INFO@INDUSTRIALDATASPACE.ORG

@ids_association

#industrialdataspace

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