Canal-U’s GAMA project selected for the National Fund for Open Science

A new tool to automate metadata production and improve access to scientific audiovisual content
Le projet GAMA de Canal-U lauréat du Fonds national pour la science ouverte
© Robert Clark / Pexels
The Canal-U platform, operated by the Fondation Maison des Sciences de l’Homme, is among the successful applicants of the fourth call for projects from the National Fund for Open Science (FNSO), supporting open scholarly publishing. The GAMA project aims to enhance the indexing, accessibility and interoperability of scientific audiovisual resources through the automated production of metadata.

A recognition for Canal-U and the FMSH

The GAMA project (Automatic Generation of Controlled Metadata for Scientific Audiovisual Content) will support the platform’s development and its commitment to open science, particularly in the field of scholarly audiovisual publishing.

The project is scheduled to be rolled out from 2026 over a two-year period.

With GAMA, our ambition is to automate the enrichment of audiovisual resources with reliable, standardised metadata, in order to significantly improve their quality and interoperability.

Damien Poïvet, Project Manager, Canal-U platform

A tool to improve content indexing

Today, many scientific videos and podcasts remain difficult to locate due to a lack of structured and standardised metadata. This limits their visibility and their ability to be connected with other research resources.

The GAMA project aims to develop a tool capable of automatically generating metadata from content transcriptions. In particular, it will suggest standardised keywords and link authors and contributors to persistent identifiers.

These advances will facilitate the indexing of resources, improve their discoverability and support their integration into the open science ecosystem.

An impact on uses and scientific communities

With nearly 60,000 resources, Canal-U will directly benefit from this enrichment. Content will be easier to find, better referenced and more effectively interconnected.

The project will also support contributors by providing reliable, guided metadata suggestions, even without specialist documentation expertise.

Developed in partnership with CNRS Images and the Centre for Direct Scientific Communication (CCSD, MediHAL platform), GAMA is part of a broader national effort to pool tools and data.

Enhancing the recognition of scientific audiovisual content

By improving the quality of indexing, the GAMA project helps strengthen the role of videos and podcasts in research.

It contributes to their recognition as full-fledged scholarly outputs, on a par with written publications, and supports their long-term integration into the open science ecosystem.

Published at 8 April 2026