E-SCIENCE DATA FACTORY

Their core work

E-Science Data Factory is a French SME specialized in research data management, FAIR data implementation, and ontology engineering. They help research infrastructures and industry adopt standardized data documentation, interoperability frameworks, and compliance with open science principles. Their work spans the full research data lifecycle — from defining semantic standards and ontologies to building tools for data certification and training data professionals across Europe.

What they specialise in

How they've shifted over time

E-Science Data Factory began (2015–2018) focused on large-scale European data infrastructure — contributing to EUDAT2020 and then EOSC-hub, which integrated major e-infrastructure platforms like EGI, EUDAT, and INDIGO-DataCloud. From 2019 onward, their focus shifted decisively toward FAIR data practices, ontology engineering, and standardized data documentation, with projects like FAIRsFAIR and OntoCommons. The trajectory shows a clear move from infrastructure plumbing toward the semantic and governance layers of data management — where the real interoperability challenges now lie.

They are moving upstream from infrastructure services toward data governance, ontology standards, and industrial data interoperability — positioning themselves at the intersection of open science compliance and Industry 4.0 data needs.

How they like to work

E-Science Data Factory operates exclusively as a participant, never as coordinator, contributing specialized data expertise to large European consortia. With 137 unique partners across 35 countries in just 4 projects, they consistently work within very large multi-stakeholder initiatives — their average consortium includes 30+ partners. This makes them a well-connected, low-risk partner choice: they know how to deliver within large EU projects without needing to lead them.

Despite only 4 projects, they have built connections with 137 unique partners across 35 countries — a remarkably wide network driven by participation in flagship EOSC and FAIR data initiatives. Their reach is deeply pan-European with no obvious geographic concentration.

What sets them apart

E-Science Data Factory occupies a rare niche as an SME that bridges open science data infrastructure with industrial ontology needs. While many organizations work on either EOSC services or manufacturing data standards, this company has a foot in both worlds — from EUDAT/EOSC-hub to OntoCommons. For consortium builders, they bring practical FAIR data implementation experience that is hard to find in a small, agile company format.

Highlights from their portfolio

• FAIRsFAIR
  Their largest funded project (EUR 255,625), directly focused on turning FAIR principles from theory into European-wide practice with certification and competence centers.
• OntoCommons
  Represents their strategic pivot — applying research data methods (ontology, FAIR) to industrial manufacturing use cases, opening a new market beyond academia.
• EOSC-hub
  A flagship EOSC project integrating three major European e-infrastructures (EGI, EUDAT, INDIGO-DataCloud), giving them deep connections across the European open science landscape.