Ranked the number one agricultural institute in Europe and number two in the world, INRA carries out mission-oriented research for high-quality and healthy foods, competitive and sustainable agriculture and a preserved and valorised environment. The main mission of INRA is to produce and enable access to knowledge to the international community of researchers and practitioners in agriculture but also towards policy makers and society. Another INRA mission is to develop innovations and know-how of service to society. These practical applications contribute to developing agricultural, industrial or service companies. To serve both these missions, several INRA entities conduct research and develop services in text and data mining on agriculture and biology related material. Two of these entities will be involved in the project: the Scientific and Technical Information Department (DIST), and the Bibliome team from the research laboratory Applied Mathematics and Computer Science from Genomes to the Environment (MaIAGE). The DIST works transversely to support INRA scientific strategy and provide innovative services within the area of information access, management and diffusion. The Bibliome team develops new methods in NLP and Machine Learning for the acquisition and the annotation of semantic knowledge expressed in natural language in scientific and technical domains such as Biology. Its technologies are used in several on-line applications. It has organized many shared tasks under the umbrella of LLL’05 and BioNLP Shared task 2011, 2013 and 2016.


INRA is strongly involved in the IFB (French Infrastructure for Bioinformatics), which is an Elixir (European life-sciences Infrastructure for biological Information) node.

Role in OpenMinTeD

The MaIAGE-Bibliome team and the DIST will lead the agriculture uses cases from requirements to implementation in WP4 and WP9, participate in all working groups for the interoperability framework in WP5 and will be actively involved in community engagement and training activities, in WP2 and WP3.


Claire Nédellec
Sophie Aubin