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What is it?

  • A framework that allows storing and integrating vessels information automatically retrieved from heterogeneous sources
  • A set of tools for detecting data duplicates based on a flexible, fully customizable vessel attributes comparison process, aimed at improving the stored data quality
  • A centralized source of vessels information that can be queried to check and validate vessels authorizations as well as providing statistical reports according to user needs

What are its benefits?

  • Provides a well-defined, flexible and easily extensible structure for storing vessel data
  • Allows integrating data sources regardless of their original structure and data formats
  • Solves codification issues inherent in the process of integrating data coming from different sources (different port codes, gear codes etc.)
  • Logically separates the data import process from the matching process between code lists coming from different sources, with the latter that can be run and refined *after* the vessel data have been imported
  • The data import process can be scheduled at fixed time intervals and is capable of detecting deltas between subsequent imports
  • Doesn’t evaluate the imported data at all, beside the obvious validations required by some attributes against their corresponding code lists (gear types, vessel types, etc.)
  • Unique identifiers (LRNOs, EU CFRs etc.) can be leveraged during the import process in order to decorate existing FVRMF vessels with data referring to the same identifiers, rather than inserting new vessel records
  • Sets no minimum limits on vessel’s dimensions or whatsoever, for the vessel to be incorporated into the record set
  • Tracks the reference timestamp for every single vessel attribute, thus - de-facto – helping to build the ‘life history’ of each stored vessel
  • Improves and simplifies the dissemination process, allowing fine-tuned control over the disseminated data (displayed vessel attributes, data sources and time-placement)
  • Can be made publicly accessible to parties interested in the provided data (port authorities, statisticians, fishing authorizations issuers, etc.) 
  • Doesn’t need the set up of ad-hoc agreements with data providers, as long as the collected data are publicly available and their source is reported alongside
  • Scales well with the increase of the collected vessels record set

FVRMF managed vessel data

  • Source identifiers (Lloyds’ Registration number / IMO, European Union CFR, ICCAT list number, etc.)
  • Name
  • Building year
  • Flags
  • Status (operative, broken, laid-up etc.)
  • Vessel type
  • Gear types (primary / secondary gear types)
  • External markings
  • Radio signals (IRCS, MMSI)
  • Registrations (country / port / registration number and date)
  • Length measurements (LOA, BP, moulded depth, draught, etc.)
  • Tonnage measurements (GT, GRT, Net Tonnage, NRT, etc.)
  • Engine power (main and auxiliary)
  • Crew size
  • Shipbuilder
  • Owners
  • Operators
  • Fishing authorizations (issuer, type of authorization, authorized area, authorized species and fishing gear, authorization validity range, termination date and reason)

Targets

  • Becoming a centralized record for everything related to vessels fishing authorizations, allowing authorizations’ management through secure, restricted-access interfaces
  • Allowing authorized users to perform data insertion and update tasks directly into the FVRMF records
  • Setting up a mutual integration process with the external data providers, so as to allow automated incorporation of FVRMF updated data as soon as they’re made effective 
  • Leveraging parallel-processing techniques to speed up the vessels comparison process
  • Exporting on-line vessel data by means of multiple, interoperable electronic document formats (XML, JSON)

Contacts

Email: VRMF-Administrator

 
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