SHARING AND EXCHANGE OF INDUSTRY DATA. Till C. Lech, Research Manager, Smart Data SINTEF Digital

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1 SHARING AND EXCHANGE OF INDUSTRY DATA Till C. Lech, Research Manager, Smart Data SINTEF Digital

2 SINTEF: One of Europe's largest independent research organisations 2000 Employees 75 Nationalities 4000 Customers NOK 3.1 billion Revenues NOK 450 MILL International sales

3 Applied research, technology and innovation Expertise from ocean space to outer space: Renewable energy Ocean space Industry Buildings and infrastructure Materials Micro-, nano- and biotechnology Climate and environment Oil and gas Health and welfare Society Digitalization Transport

4 The Smart Data Research Group at SINTEF Digital Technology and Ecosystems for data-driven innovation Research Areas: Digital Platforms and Data Ecosystems Data Marketplaces Data Interoperability: Knowledge Representation and Knowledge Graphs Big Data and Analytics 4

5 Our offering Expertise in Data ecosystems / data marketplaces Blockchain / Smart Contracts Data Management / Data Integration Advise on technology selection Requirement analysis in Collaboration with the Client Selection of techologies, documented with advantages/limitations (includes testing and evaluation of technologies) Solution design and architecture Architecture for how solutions can be glued together Carry out Proof-of-Concepts in collaboration with the client Prototype implementation and project management 5

6 Data as strategic resource the data economy 6

7 but current reality is different Business processes enabled by exchange of data are slow, and predominantly manually implemented: Bottlenecks Increased operational costs Vulnerabilities to tampering and mistakes Stakeholders have few incentives to cooperate (e.g., for fear of losing competitive advantage) Lack of trust and silos of information both across stakeholders and within the same organizations Inventory management is affected by the lack of interoperability of information and lack of data governance Inconsistent inventory views (e.g., incomplete, incorrect descriptions of items) Classifying similar items differently

8 Case: The Maritime Data Space

9 Shipping today is too fragmented lack of trust! Crew relatives Agent Owner Charterer Crew Manager Port Terminal Cargo owner Class Port state 9 Coast state Flag state

10 We need to improve trust and cooperation Crew relatives Crew Manager Owner Agent Charterer Port Cargo owner Coast state Flag state Terminal Class Port state 10

11 Through digitalization and integrated services Crew relatives Agent Owner Charterer Crew Manager Class Port Coast state Port state Terminal Flag state Cargo owner Crew Crew Agent relatives Manager Owner Charterer Port Cargo owner Coast state Terminal Port state Flag state Class 11

12 Maritime Data Space - MDS Based on Industrie 4.0 and the Industrial Data Spaces (IDS), MDS will develop an open Maritime Data Exchange and Sharing Ecosystem for secure, robust, efficient and trusted exchange and sharing of ship related data among trusted stakeholders on ship and shore in a federated space of interoperating platforms and ecosystems enabled by the IDS. RCN-funded IPN Oct 2018 to March 2020

13 Data may be stored in several locations Owner/Agent/ Management Class/ Authorities Yard/Equipment Interest organisations Service providers Maritime Data Space Maritime Data Space 13

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16 80+ Companies and Organisations 15+ Countries 25+ = Use Cases 1 Ecosystem // 16

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18 Industrial Data Space functional architecture Clearing House Identity Management App Ecosystem Data App implementation Deployment in App Store Installation and support Vocabulary & Metadata Management Data source description Broker repository and indexing Vocabulary management Connector Data exchange Data processing and transformation 18 Trust & Security

19 Industrial Data Space Layers Perspectives REFERENCE ARCHITECTURE MODEL Business Functional Process Information Security Certification Governance INTERACTIONS OF COMPONENTS ON THE SYSTEM LAYER System App Store App App App Broker Meta Meta Meta App Meta Meta Connector: Gives access to the Industrial Data Space Data Source Connector Data Provider Meta Data Connector Data Consumer Data Sink Broker: Manages Metadata of Connectors and Participants Data Meta Dataset(s) transferred from Provider to Consumer Metadata Description of Datasets/Provider/Consumer Connector Data exchange (active) Data exchange (inactive) Metadata exchange AppStore: Provides Apps and Vocabularies App Applicationfor specificdata manipulation Peer-to-peer nodes App download // 19

20 SINTEF and the International Data Spaces Association IDSA member since 2016 Active in architecture and use case working groups In Norway ( ): Raising awareness: Sharing of industry data, data ecosystems Generating use-cases: Maritime Data Space project ( ) 2018/19: Estasblishing a regional IDS-hub Generating more pilots and and use-cases Provide IDS competence in collaboration with IDSA 20

21 Conclusions Full speed ahead! Interoperability of data is key (standards, ontologies, etc) Data governance is a critical part Re-use existing frameworks for industrial data sharing where it makes sense 21

22 CONTACT INFO: Till C. Lech Mob:

23 Teknologi for et bedre samfunn