An overview of the ICARUS project and its trusted data brokerage framework, provided during the PRO-VE, Parallel Session C1: Collaborative Knowledge Management, on September 23rd, 2019, in Turin.

1. This work has been created in the context of the ICARUS project, that has received funding from the
European Union’s Horizon 2020 research and innovation programme under grant agreement No. 780792
Designing a Trusted Data Brokerage
Framework in the Aviation Domain
Evmorfia Biliri, Minas Pertselakis, Marios Phinikettos,
Marios Zacharias,
Fenareti Lampathaki, Dimitrios Alexandrou
PRO-VE 2019
23 - 25 September 2019 - Valentino Castle, Turin, Italy

2. This work has been created in the context of the ICARUS project, that has received funding from the
European Union’s Horizon 2020 research and innovation programme under grant agreement No. 780792

3. Introduction
Improve passenger experience, increase flight efficiency, expand sales, reduce costs…
Data
Fragmentation Big Data
Technologies
Bring together all aviation related stakeholders
Accelerate collaboration on data exploration and analysis through an
innovative big data enabled sharing and collaboration platform
Remove current barriers in data aggregation, sharing and IPR restrictions
IATA NEXTT https://nextt.iata.org/

4. ICARUS in a nutshell
3
ICARUS ECOSYSTEM1
2 CORE WORKFLOWS
SECURE & PRIVATE
SPACES
DATA CHECKIN
DATA SEARCH &
ACQUISITION
DATA ANALYTICS
ICARUS DIFFERENTIATING POINTS
CORE PLATFORM
ON-PREMISE
ENVIRONMENT

5. ICARUS Demonstrators
Airport Capacity Planning
Pollution Data Analysis and Massive Route
Network Analysis
Aviation Related Disease Spreading -
GLEAM
Enhancing Passenger Experience
I II
III IV

6. This work has been created in the context of the ICARUS project, that has received funding from the
European Union’s Horizon 2020 research and innovation programme under grant agreement No. 780792
 FDX (Flight Data Exchange) : aggregated de-identified database of FDA/ FOQA type events that
allows to identify commercial flight safety
 ASIAS (Aviation Safety Information Analysis and Sharing) : open exchange of safety information
 GADM (Global Aviation Data Management Program) : over 90% of IATA member carriers have
agreed to participate
 STEADES: over 200 members for effective aviation safety incident data management & analysis
 SKYbrary: flight operations, ATM & aviation safety
 D4S (Data4Safety): ensure the highest common level of safety and environmental protection
for the European aviation system
 A-CDM (Airport Collaborative Decision Making): procedures and tools enabling real-time
collaborative decision-making
Data Sharing Motivation and
Initiatives in Aviation
GAIN (Global Aviation Information Network) was proposed by FAA in 1996
S
A
F
E
T
Y

7. This work has been created in the context of the ICARUS project, that has received funding from the
European Union’s Horizon 2020 research and innovation programme under grant agreement No. 780792
Data IPR & Marketplaces
 Data Sharing Agreement Attributes
 Buyer-Seller Matching:
– One-One
– One-Many
– Many-One
– Many-Many
 Contract Engines
 Distributed Ledger Technologies
• Payment on package delivering (API handle)
• Payment on data size
• Payment on time of subscription
• Payment on data unit
• Payment on plan (fixed payment on a period)
• Free usage
• Licenses, IPR
• Privacy & Protection
• Access
• Responsibility
• Regulatory Compliance
• Pricing
• Quality
• Accuracy
• …

8. This work has been created in the context of the ICARUS project, that has received funding from the
European Union’s Horizon 2020 research and innovation programme under grant agreement No. 780792
 Data Sharing Agreement Attributes
 Buyer-Seller Matching:
– One-One
– One-Many
– Many-One
– Many-Many
 Contract Engines
 Distributed Ledger Technologies
 Transparency
 Single point of failure elimination
 Security
 Traceability
Data discoverability
Membership & Trust (KYC)
Provenance
Data ownership
Automation Levels & Usability
Data Model Complexity vs
Expressivity
Smart Contracts
Data IPR & Marketplaces

9. This work has been created in the context of the ICARUS project, that has received funding from the
European Union’s Horizon 2020 research and innovation programme under grant agreement No. 780792
ICARUS Data Sharing Framework
Formalise all data attributes and qualities that affect, or are in any
way relevant to, the ways in which data assets can be shared / traded
and handled subsequently to their acquisition.
Enable the creation of structured, machine-processable data
contracts for the aviation industry.
Foresee all possible interactions of stakeholders in aviation data
sharing scenarios and will define the system’s expected behaviour in
this context.

10. This work has been created in the context of the ICARUS project, that has received funding from the
European Union’s Horizon 2020 research and innovation programme under grant agreement No. 780792
High-Level Data Sharing Model

11. This work has been created in the context of the ICARUS project, that has received funding from the
European Union’s Horizon 2020 research and innovation programme under grant agreement No. 780792
Asset Sharing Workflow

12. ICARUS prototype: contract drafting

13. This work has been created in the context of the ICARUS project, that has received funding from the
European Union’s Horizon 2020 research and innovation programme under grant agreement No. 780792
Conclusions & Next Steps
Smart contracts enforceability
Smart contract – textual contract Alignment
Validation through 4 real life demonstrators
The ICARUS policy and brokerage framework sets the foundations of the ICARUS
platform that will link data providers and data consumers at all levels of the data value
chain in the aviation industry
Next Steps
In a nutshell

14. This work has been created in the context of the ICARUS project, that has received funding from the
European Union’s Horizon 2020 research and innovation programme under grant agreement No. 780792
Thank you for your attention !
Aviation-driven Data Value Chain for Diversified Global and Local Operations
ICT-14-2017: Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation
http://www.icarus2020.aero
Marios Zacharias
mzacharias@singularlogic.eu
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