Virtual Laboratory · FAIR Fisheries Data

Global Fisheries Atlas

Explore harmonised global fisheries data, fish-stock knowledge and reproducible analytical tools for research, policy and sustainable resource management.

Open to EOSC users. This welcome page is available anonymously. Sign in through EOSC AAI or another supported identity to use the Virtual Lab.

Global Fisheries Atlas Virtual Lab logo

Purpose and scope

A comprehensive, interoperable view of global fisheries

The Global Fisheries Atlas makes fisheries data and knowledge easier to discover, compare, analyse and reuse in support of informed decision-making and sustainable management.

The Virtual Lab brings together catch data, stock information, assessments and management knowledge from established organisations. It applies recognised standards for spatial, semantic and research-data management and combines public information with analytical and reproducibility services.

Two complementary pillars

From spatial data products to harmonised knowledge records

Pillar 1

Fisheries Atlas and Global Tuna Atlas

A standards-based spatial data infrastructure and reproducible R workflows harmonise fisheries datasets and publish documented products. Its flagship application, the Global Tuna Atlas, supports the exploration of global catches of tuna, tuna-like species and associated fisheries.

Discover the Global Tuna Atlas

Pillar 2

Global Record of Stocks and Fisheries

GRSF integrates and harmonises records from FIRMS, FishSource, RAM Legacy Stock Assessment Database and the FAO SDG 14.4.1 Questionnaire. Stable identifiers help users find and reference validated fish-stock and fishery records consistently.

Explore the GRSF public page

Integrated services

Discover, query, map and reproduce

The Virtual Lab combines research products and knowledge records with tools for semantic access, spatial exploration and reproducible analysis.

Resources Catalogue

Find, group and inspect fisheries datasets, documented data products and fishery or stock records from the shared catalogue.

GRSF API and Triplestore

Use programmatic access and SPARQL queries to explore the harmonised GRSF semantic knowledge base through W3C standards.

Maps and Shiny applications

Explore the geographic, temporal and thematic dimensions of fisheries data through multilayer maps and interactive applications.

Reproducible R environment

Run, inspect and adapt R workflows in a shared RStudio environment with managed dependencies and reusable source code.

FAIR and reproducible outputs

Data products designed for transparent reuse

Workflows generate standardised fisheries datasets and visual applications whose documented releases can be assigned persistent identifiers. Users should cite the relevant dataset, software release and service documentation, and follow the licence and attribution shown in each record.

Access and policies

Open to EOSC users

Anyone may consult this public page and the linked public documentation. EOSC users can enter the Virtual Lab after signing in through EOSC AAI or another identity provider supported by D4Science.

Open-access VLab

Sign in and start exploring

Use a supported academic or federated identity to access the shared catalogue, analytical tools, maps and runtime services. No invitation from a particular project consortium is required.

Enter the Virtual Lab

Resource conditions

Check before reusing

Datasets, software, source records and documentation retain their own licences, citation requirements and provider conditions. Consult the relevant catalogue or repository record before reuse.

Acceptable Use Policy

Use the environment responsibly and lawfully for legitimate research, education, policy or innovation activities. Respect security, privacy, intellectual property and computational limits.

Read the D4Science AUP

User Access Policy

The VLab is open to EOSC users authenticating through a supported identity. Access remains subject to the AUP, operational capacity and any conditions attached to individual services.

Citation and attribution

Cite the VLab and the relevant datasets, code or documents, including their DOI where provided. Acknowledge Blue-Cloud support when outputs rely on the VLab.

Responsibility and provenance

Developed through an international fisheries partnership

The Global Fisheries Atlas Virtual Lab is jointly developed by the French National Research Institute for Sustainable Development (IRD) and the Foundation for Research and Technology – Hellas (FORTH), in close collaboration with the Fisheries and Resources Monitoring System (FIRMS), the Food and Agriculture Organization of the United Nations (FAO), and contributing fisheries-data partners.

The service was developed through Blue-Cloud and Blue-Cloud 2026. It is operated on the D4Science infrastructure and presented as part of the EOSC Node | European Digital Twin Ocean.

  • IRD and FORTH · Virtual Lab development
  • FIRMS and FAO · Fisheries collaboration and knowledge
  • Blue-Cloud partners · Scientific and technical contributions
  • D4Science · Digital infrastructure and technical operation

Blue-Cloud 2026 received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101094227. The earlier Blue-Cloud project received Horizon 2020 funding under grant agreement No 862409.