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ICARUS @PRO-VE 2019 - Collaborative Knowledge Management Session (September 2019, Turin)

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.

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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
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
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/
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
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
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

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ICARUS @PRO-VE 2019 - Collaborative Knowledge Management Session (September 2019, 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
  • 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 Follow us: https://twitter.com/icarus2020aero https://www.linkedin.com/company/icarus2020-aero/ https://www.facebook.com/icarus2020aero/ https://www.youtube.com/channel/UC0c8NKTtE2u4eZbodH6IYqg

Editor's Notes

  1. Clear motivation from the industry and from academia: numerous cases that leverage data to improve services in aviation (NEXTT journey of the future) BUT: cross-sectorial data important yet unavailable, stakeholders reluctant to share, missing organised approaches to tackle this problem BUT in order to leverage the power brought by big data technologies we need to find ways to make the appropriate data available  ICARUS
  2. Data sharing Initiatives since 1996 mainly focused on SAFETY, not to passengers experience. However, ad-hoc 1-1 (airport/airline-passenger) initiatives FAA: the Federal Aviation Administration Be prepared to answer about SKYWISE (Airbus)!! Skywise currently has Airbus data only, not intermediary. ICARUS = brokerage, not ownership Initiatives by numerous core stakeholders  safety related mostly BUT there is room for improvement in other products/services/operations  currently through ad-hoc 1:1 collaborations So how can we change this and create broader data sharing initiatives among aviation stakeholders ? How can we motivate them and remove hesitation to be involved?
  3. Dta sharing agreements: need for robust IPR framework SoA: attributes of data sharing currently. Each attribute can be an open research/business entity Metadata model available in D2.2-D2.3 (public dels) Many-many = consumers-producers  challenge is Data discoverability. KYC (know your customer), refer OAG Data provenance & integrity IMPORTANT (who uploaded data, when ,etc.) Contract engines: we semi-automate contract management to ensure trust and enhance operational efficiency
  4. Expressivity = data model can express everything I want, but also keep data complexity at acceptable level
  5. Hybrid approach (smart contract + natural language text) upon requirement from aviation industry Contract negotiation very important aspect of ICARUS
  6. Smart contract functionalities are developed on Ethereum, a popular decentralised platform for smart contracts, using the Truffle Framework. The component has three interconnected roles: It allows the users to define, review and update the data license and IPR attributes discussed in the previous section. It allows users to draft, review, negotiate on, and sign a smart data contract that concretely defines the terms under which a dataset will be shared. It handles all processes required to prepare a smart contract for each (paid) asset transaction and, finally, upload it to the blockchain. Depending on the exact terms and attributes included in a contract, the corresponding key-value pairs are stored either as-is or hashed in the blockchain.
  7. Enforceability = is it legally binding?  hybrid approach facilitates Smart contract – textual contract Alignment -- check if contradicting between smart contract terms and textual terms (part of negotiation)