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Aviation-driven Data Value Chain for Diversified Global and Local Operations

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icarus data cleaning challenges

ICARUS Data Management: Cleaning Challenges

January 19, 2021March 10, 2021

Data Cleaning is an umbrella of data processing actions related to the detection and correction (or removal) of corrupted or […]

Blog, perspectives data analysis, data cleaning, data cleansing, icarus data management

Aviation Data Management Perspectives in ICARUS

December 23, 2019January 15, 2021

Effective data management in a data integration, analytics and sharing project like ICARUS is instrumental in ensuring that the data […]

Blog, perspectives aviation data management, data cleaning, data collection, data curation, data management, data mapping, data provenance

Recent Posts

  • ICARUS Experience and Benefits for ISI
  • ICARUS Experience and Benefits for AIA
  • Market Opportunities and Positioning for the ICARUS Platform
  • Lessons Learnt and Adoption Guidelines based on the ICARUS Platform’s Experiences
  • Aviation’s Data Revolution: Flexing and Bending in A Pandemic

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About

ICARUS aims to deliver a novel framework and architecture that leverages data, primary or secondarily related to the aviation industry, to help companies and organisations whose operations are directly or indirectly linked to aviation (e.g. airports, airlines, IT aviation companies, aircraft equipment industries, extra-aviation service providers, tourist agencies, health and epidemics monitoring agencies, etc.) to simultaneously enhance their data reach, as well as to share / trade their existing data sources and intelligence, in order to gain better insights into airplanes’, airports’ and passengers’ quantified selves and contribute to improving their operations and increasing passengers’ safety and satisfaction.

Contact us

management@icarus2020.aero
Project Coordinator: Dr. Dimitris Alexandrou (UBITECH)
Technical Coordinator: Dr. Fenareti Lampathaki (Suite5)

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EU flag The ICARUS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780792.

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