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MUDIS4LS — Mutualised Digital Spaces for FAIR Data in Life and Health Sciences

Overview

MUDIS4LS (Mutualized Digital Spaces for FAIR data in Life and Health Sciences) is a French national infrastructure project funded under the ANR Equipex+ PIA3 programme, coordinated by IFB (Institut Français de Bioinformatique / ELIXIR-FR). Running from 2021, it brings together 39 teams from 14 organisations, 4 national data centres, 7 regional data centres, and 6 national data-producing infrastructures to build a shared, scalable, FAIR-compliant digital infrastructure for French life and health sciences research data. It is the next-generation evolution of IFB’s National Network of Computing Resources (NNCR), extending its scope, capacity, and governance to cover the full data lifecycle from production through analysis, secure mid-term storage, and eventual public release in national or international repositories.

Key Objectives

Data Flow Orchestration

A central goal is enabling scientists to control biological data flows throughout their lifecycle: from origin at national data-producing infrastructures (France Génomique, France BioImaging, France Life Imaging, etc.) through intermediate analysis phases to public release in national or international repositories.

Shared Computing Infrastructure

Builds on and extends the NNCR: mutualized HPC and cloud resources across IFB’s 21 member platforms in 9 regions of France. Provides hosting, computing, and storage services under a shared governance model with permanent staff from platforms contributing to operations.

FAIR Data Management and AI

  • Develops FAIR-compliant data management frameworks for multi-omics, imaging, and phenotype data integration
  • Addresses AI for life sciences through standardised data pipelines compatible with machine learning workflows
  • Provides structured DMP support via OPIDoR tooling

Implementation Studies (Thematic Pilots)

Five case studies demonstrate the framework across different communities: IS1 covers multi-omics and imaging integration (most relevant to neuroscience); IS2 covers marine ecology (EMBRC France); IS3 addresses health data interfacing with the Health Data Hub ecosystem; IS4 covers microbial research; and IS5 covers agriculture.

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