industrial data space - european commissionthe industrial data space connects various digital...
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Prof. Dr.-Ing. Boris Otto · Essen · February 1st, 2017
INDUSTRIAL DATA PLATFORMSDATA SOVEREIGNTY INDUSTRIAL DATA SPACE BIG DATA VALUE PPP
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AGENDA
Data Sovereignty
Industrial Data Space
Big Data Value Association
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Legend: Information flow; Material flow.
Smart data management is the glue between Smart Service Welt and Industrie 4.0
PublicData
Value Chain Data
Commercial
Services
Industrial
Services
Lot-Size 1
End-to-End Customer Process
Business Ecosystem
Hybrid Offerings
Smart DataManagement
Interoperability
Human-Machine-Collaboration
Autonomous Systems
Internet of Things
Customer
Production
Networks
Logistics
Networks
Digitized Value PropositionDataDigitized Value Creation
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Source: Otto (2016).
As data becomes an economic good, the need for data sovereigntyis getting more important
Interoperability
Data Exchange
»Sharing Economy«
Data-centric Services
Data Ownership
Data Privacy and Security
Data Value
Data sovereignty is the capability of a natural person or corporate entity for exclusive self-determination with regard to its economic data goods
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The Industrial Data Space forms a network of trusted data
Trust
CertifiedParticipants
Scalability
Network Effects
Openness
Neutrality andUser Community
Governance
Mutual Rules ofthe Game
Ecosystem
Platforms andServices
Security
On-Demand DataExchange
Sovereignty
Data Ownership
Decentral Control
FederatedArchitecture
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Data flowMaterial flow
Legend: IDS – Industrial Data Space; LSP – Logistics Service Provider; IoT – Internet of Things.
The Industrial Data Space connects various digital platforms and the internet of things
Public context data
Weather
Factory/Warehouse
LSPElectronic Marketplace
Traffic
IoTCloud
IDS Broker
IDS
IDS
IDS
IDS
IDS
IDS
IDS
IDS
Supply chain planning data
Supply chain event data
Internal process data
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Source: Cf. Kagermann (2015).
The Industrial Data Space defines the data architecture betweensmart services and the internet of things
Connected physical platforms Smart Products
Technical infrastructure Smart Spaces
Industrial Data Space
Service platforms Smart Services
Smart Data Services (Alerting, Monitoring, Data quality etc.)
Basic Data Services (Fusion, Mapping, Aggregation etc.)
Use restrictions attached to the data
Secure data supply chain
Data Fusion
Certified software endpoints
Multiple use scenarios
Federated governance models
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Image sources: Johns Hopkins University (2016), Umweltbundesamt (2016), Smellgard, Schneider & Farkas (2016), ITS International (2016).
Multiple use scenarios are emerging on top of theIndustrial Data Space Architecture
Material Sciences Energy Life SciencesHigh Performance
Supply ChainsTraffic
Management
Exchange of material and product data across the entire
lifecycle from research and
development to decommissioning
Shared use of condition data from
operations for predictive
maintenance of wind energy plants
Shared, federated data platform for development and
testing of pharmaceutical
products
Exchange of quality data for transport items along the
entire supply chain
Use of traffic management data for innovative services in the car and to better
control traffic
INDUSTRIAL DATA SPACE ARCHITECTURE
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NB: As per December 2016.
The initiative rests on solid and continuously growing industrycommitment organized in the Industrial Data Space Association
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Source: BDVA (2016).
Big Data Value PPP
Create value out of the data! Boost European Big Data research and innovation Strengthen competitiveness and ensuring industrial leadership
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Source: BDVA (2016).
Who is behind BDVA?
And many more....An Industry-led growing European community with over 160 members
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Source: BDVA (2016).
BDVA Operational Structure
TF1: Programme
TF2: Impact
TF3: Community
TF4: Communication
TF5: Policy
& Societal
Policy & Societal
TF6: Technical
TF6-SG1: Data Management
TF6-SG2: Data Processing
Architectures
TF6-SG3: Data Analytics
TF6-SG4: Data Protection and Pseudonymisation
Mechanisms
TF6-SG5: Advanced Visualisation and User
Experience
TF6-SG6: Standardisation
TF7: Application
TF7-SG1: Emerging Application Areas
TF7-SG2: Telecom
TF7-SG3: Healthcare
TF7-SG4: Media
TF7-SG5: Earth observation &
geospatial
TF7-SG6: Smart Manufacturing
Industry
TF8: Business
TF8-SG1: Data entrepreneurs
(SMEs and startups)
TF8-SG2: Transforming
traditional business (Large
Enterprise)
TF8-SG3: Observatory
on Data Business Models
TF9:
Skills and Education
TF9.SG1: Skill requirements
from European industries
TF9SG2: Analysis of
current curricula
related to data science
TF9.SG3: Liaison with
existing educational
projects
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Prof. Dr.-Ing. Boris Otto
Fraunhofer Institute for Software and System TechnologyManaging Director
https://de.linkedin.com/pub/boris-otto/1/1b5/570
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http://de.slideshare.net/borisotto
Your Contact Person!
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Prof. Dr.-Ing. Boris Otto · Essen · February 1st, 2017
INDUSTRIAL DATA PLATFORMSDATA SOVEREIGNTY INDUSTRIAL DATA SPACE BIG DATA VALUE PPP