Background

• The systematic and integrated management of maritime big data is required in order to reduce and prevent the maritime accidents.
• Following needs are required for maritime safety :
  • Customized results for various service users
  • Evidence-based decision making in preventive actions and safety diagnosis

Implementation of big data platform

• Integration of the dispersed big data managed by various organizations
• Implementation of the big data platform through data quality management
• Data-driven maritime safety risk analysis and assessment
• Provision of maritime safety information and services

Conceptual Scheme of Big data platform

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Applications

• Provide data-driven maritime safety monitoring measures
• Support decision makings in maritime accident preventive activities
• Provide safety assistance services in business management for shipping companies
• Provide quantitative grounds for developing maritime safety related regulations

Roadmap for big data platform implementation and operation

• ‘19-’20: Foundation building
  • Implement base infrastucture for internal business systems(AI smart portal system)
  • Establish Data governance for data collection and management
  • Perform big data pilot analysis
• `21.-`22: Implementation
  • Perform quality management for integrated maritime big data
  • Develop big data analysis systems and solutions
  • Expand data interfaces among relevant organizations
• `23.-`24: Growth
  • Advance big data analysis methods(geo-spatial, temporal, predictions, etc.)
  • Interface external maritime IT systems(e-Navigation, AIS, etc.)
  • Support decision makings on regulations regarding maritime accident preventive activities
• `25.- : Build Out
  • Establish maritime safety big data ecosystem
  • Make public(Public sharing) of safety data
  • Develop maritime accident prediction analysis model and services
  • Develop maritime safety indicators and advanced services

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