About
The ambition of Revue3.0: Écrire, Transmettre, Découvrir is to rethink the forms of knowledge production, dissemination, and validation in the humanities in the digital age, so that academic journals in the humanities can remain leaders in the knowledge of tomorrow.
Our project aims to develop the expertise needed to envision, design, and create protocols, infrastructures, and tools for academic journal publishing.
To achieve this goal, we have brought together the key players in Francophone digital publishing and an international group of researchers at the forefront of publishing and knowledge dissemination research.
Our partners include the two main Francophone digital distributors (Érudit and OpenEdition), the largest digital infrastructure in the humanities (Huma-Num), the bibliographic management software Zotero, the annotation tool Hypothesis, the NT2 Lab (Laboratory for Research on Hypermedia Works), the Métopes infrastructure (digital publishing chains), and the Maison des Sciences de l’Homme en Bretagne (MSHB), which created a journal incubator.
These major partners are joined by 14 humanities journals chosen for their engagement in aligning their editorial models with appropriate digital environments.
Our project will serve as both a theoretical research space for studying the production, dissemination, and validation of knowledge in the digital age, and an experimental platform for new publishing models.
This overarching goal consists of three specific challenges, which form the three axes of Revue3.0:
Writing: Understanding the issues related to writing in the humanities; producing writing models adapted to the current context of dissemination and that leverage the potential of digital tools (e.g., AI-assisted writing); identifying and equipping new forms and formats of knowledge that differ from traditional models (article and monograph), taking into account the full range of validation concerns.
Transmitting: Identifying and enhancing different forms of transmission of scientific knowledge accumulated before the digital transition—especially journal archives. This knowledge often circulates in low-quality digital formats, with minimal markup and limited visibility, despite representing a substantial body of knowledge. We will analyze issues of accessibility and structuring for these contents and, based on this analysis, will undertake semantic enrichment, visualization, and automated analysis actions, utilizing AI algorithms to improve the transmission of this heritage.
Discovering: Identifying and equipping a range of reading, usage, and knowledge appropriation methods in the humanities for researchers. From searching for an article via a search engine to highlighting or saving a bibliographic reference, this axis seeks to understand the impact of tools and content appropriation practices on the production of new knowledge. To analyze this impact, we will develop approaches and tools that enhance and support these practices.
The structure and organization of our project are built around these three axes.
This partnership originates from the Revue2.0 Partnership Development project, which enabled the current project’s main partners to precisely define research issues, establish collaborative working methods, and implement initial pilot experiments.