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This document discusses using distributed ledger technology (DLT) and smart contracts for data governance. It proposes that consensus mechanisms like proof-of-work could enable trust in data sharing platforms. Smart contracts could track data use and regulate sharing based on privacy and industry standards. The document provides an example of how DLT and smart contracts were used in a rail asset maintenance project to digitally manage workflows between stakeholders over an asset's lifecycle.

DLT &SC for Data
Governance
Nadia Fabrizio, Cefriel –Politecnico di Milano
Bruxelles,BDVA Wg on DG-12 December 2019

Consensus and Dataspaces
• Consensus ( like PoW) as approach can be applied to
enable «trust» in dataspaces («transactional
exchange of datasets»)
• Consensus can help the regualation of use of
datasets in many context ( privacy, industrial
ecosystem)

BACKGROUND: BLOCKCHAIN IN THE DATA VALUE CHAIN AND THE ROLE IN
DATASPACES
3copyright © 2019 Cefriel – All rights reserved
Untangling Blockchain: A Data Processing View of Blockchain Systems,
https://www.semanticscholar.org/paper/Untangling-Blockchain%3A-A-Data-Processing-
View-of-Dinh-Liu/82d2b9d09cc339fdeac05abfb8a31f9c6eace948/figure/5
• Blockchain and Smart Contracts are a “full
stack” that might be applied to the Data value
chain to
• Add transactional logic to the exchange of
certain digital asset with a value track the use of
data in data analytics modules
• Tracking and tracings events
• Automated the execution of logics among peer
to peer networks
• Due to the nature of the technology, it
brings inherently
• Security of the Data
• Tracking of any modification
• Automatic reconciliation

BLOCKCHAIN AND SMART CONTRACTS IN THE DATA VALUE CHAIN HIERARCHY OF
NEEDS
• Explanation
• Smart Contracts might be applied to track the use of
data in data analytics modules
• Feedback loop
• Not Applicable
• Classification
• Not applicable
• Data quality validation
• The DLT in inherently updated, secured, reconciliated to
support automatic checking data quality and correcting
mistakes
• Data sharing
• Every node can access the DLT
• The DLT tracks data exchanges
• Smart contracts tracks the data exchanges
4copyright © 2019 Cefriel – All rights reserved
AI
LEARN /
OPTIMIZE
AGGREGATE /
LABEL
EXPLORE /
TRANSFORM
MOVE / STORE
COLLECT
Covered by
Bchain LoR
To BE….

Context: DT in Smart Factory for SMEs
• Dasa as flowing lymph for the business in the digital: they
keep «alive» SMART SERVICES and PRODUCTS
• In industrial context, the Digital Transformation requires to
rethink the »data» management model toward an approach
that combines
• Openess
• Fairiness
• Accountability
One Key aspect is
BALANCING the business NEEDS with Law

Context: DATA ECONOMY FOR EUROPEAN SMEs
6copyright © 2019 Cefriel – All rights reserved Foresight
• More than 3 out of 4 company in Europe are SMEs: their produce data that are
valuable when they are exchanged, combined, exploited.
• This is not practictally made possibile by «ecosystems» approach only.

IDSA
• In IDSA, consensu is used
to assure TRUST

EXAMPLE-ASSET MAITENANCE & LINKING BLOCKCHAIN WITH PREDICTIVE
MAITENANCE
© copyright 2019 CEFRIEL – All rights reserved
OBJECTIVE
Create a system able to digitally manage interactions
and workflows between the different actors that
participate to the railways asset management
ecosystem
OUTPUT: Smart contract based PoC for the life cycle
of Asset Management, trials, survey, legal aspects
analysis
WebSite: www.in2dreams.eu
http://www.in2dreams.eu/
2017 - 2019
Focus has been on a specific context in the railway
ecosystem:
Infrastructural manager related processes in the
asset maintenance.
Cefriel’s Role: Coordinator WP4
Partners:
8

THE INTEGRATED TD INSIDE THE INFRASTRUCTURE MGM SCENARIO
© copyright 2019 CEFRIEL – All rights reserved
A
B
9
TD implements an
end to end life
cycle.

© copyright 2019 CEFRIEL – All rights reserved 10
Smart Contracts for Asset Maintenance-Overall final
evaluation –June 2019
Hitachi Camp and Expo Ferroviaria Demo- October 2019

Thank you
11
Contact
Nadia Fabrizio
Idea Exploration @Foreight & Blockchain
Expert
Nadia.fabrizio@cefriel.com
@nadifabry
+39 338-4431-437/+039-02-23954-344

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2019 bdva wg_dg

1. DLT &SC for Data Governance Nadia Fabrizio, Cefriel –Politecnico di Milano Bruxelles,BDVA Wg on DG-12 December 2019

2. Consensus and Dataspaces • Consensus ( like PoW) as approach can be applied to enable «trust» in dataspaces («transactional exchange of datasets») • Consensus can help the regualation of use of datasets in many context ( privacy, industrial ecosystem)

3. BACKGROUND: BLOCKCHAIN IN THE DATA VALUE CHAIN AND THE ROLE IN DATASPACES 3copyright © 2019 Cefriel – All rights reserved Untangling Blockchain: A Data Processing View of Blockchain Systems, https://www.semanticscholar.org/paper/Untangling-Blockchain%3A-A-Data-Processing- View-of-Dinh-Liu/82d2b9d09cc339fdeac05abfb8a31f9c6eace948/figure/5 • Blockchain and Smart Contracts are a “full stack” that might be applied to the Data value chain to • Add transactional logic to the exchange of certain digital asset with a value track the use of data in data analytics modules • Tracking and tracings events • Automated the execution of logics among peer to peer networks • Due to the nature of the technology, it brings inherently • Security of the Data • Tracking of any modification • Automatic reconciliation

4. BLOCKCHAIN AND SMART CONTRACTS IN THE DATA VALUE CHAIN HIERARCHY OF NEEDS • Explanation • Smart Contracts might be applied to track the use of data in data analytics modules • Feedback loop • Not Applicable • Classification • Not applicable • Data quality validation • The DLT in inherently updated, secured, reconciliated to support automatic checking data quality and correcting mistakes • Data sharing • Every node can access the DLT • The DLT tracks data exchanges • Smart contracts tracks the data exchanges 4copyright © 2019 Cefriel – All rights reserved AI LEARN / OPTIMIZE AGGREGATE / LABEL EXPLORE / TRANSFORM MOVE / STORE COLLECT Covered by Bchain LoR To BE….

5. Context: DT in Smart Factory for SMEs • Dasa as flowing lymph for the business in the digital: they keep «alive» SMART SERVICES and PRODUCTS • In industrial context, the Digital Transformation requires to rethink the »data» management model toward an approach that combines • Openess • Fairiness • Accountability One Key aspect is BALANCING the business NEEDS with Law

6. Context: DATA ECONOMY FOR EUROPEAN SMEs 6copyright © 2019 Cefriel – All rights reserved Foresight • More than 3 out of 4 company in Europe are SMEs: their produce data that are valuable when they are exchanged, combined, exploited. • This is not practictally made possibile by «ecosystems» approach only.

7. IDSA • In IDSA, consensu is used to assure TRUST

8. EXAMPLE-ASSET MAITENANCE & LINKING BLOCKCHAIN WITH PREDICTIVE MAITENANCE © copyright 2019 CEFRIEL – All rights reserved OBJECTIVE Create a system able to digitally manage interactions and workflows between the different actors that participate to the railways asset management ecosystem OUTPUT: Smart contract based PoC for the life cycle of Asset Management, trials, survey, legal aspects analysis WebSite: www.in2dreams.eu http://www.in2dreams.eu/ 2017 - 2019 Focus has been on a specific context in the railway ecosystem: Infrastructural manager related processes in the asset maintenance. Cefriel’s Role: Coordinator WP4 Partners: 8

11. Thank you 11 Contact Nadia Fabrizio Idea Exploration @Foreight & Blockchain Expert Nadia.fabrizio@cefriel.com @nadifabry +39 338-4431-437/+039-02-23954-344

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