The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Recent technological advances allow the production of large biological datasets that makes the description of phenotypes more accurate. To analyze this huge amount of information with computers and thus compare phenotypes, it is essential to define a standard language that unambiguously defines phenotypic traits so as to serve as a reference, worldwide, to any possible user (geneticist, physiologist, biochemist, modeler, producer...). The absence of such a language/reference for livestock species has led Inra, in collaboration with its international partners, to develop an ontology that is called ATOL (Animal Trait Ontology for Livestock). Its aims are to define the phenotypic characters of livestock species, and allocate them to different types: performance traits (feed efficiency, fertility), production traits (dairy, meat, eggs, fatty liver) and societal traits (welfare). This article summarizes the objectives of the project, the original approach used to build the ontology, but also its current status and performance as well as its limitation. This ontology is publicly available on the web and expected to be widely shared worldwide for the common use of unique terms to annotate publications, databases or mine literature and thus promote systemic as well as predictive biology.
- Inra (FR)
- CNRS (FR)
- Agrocampus_Ouest (FR)
- Univ_Rennes_1 (FR)
- VetAgro_Sup (FR)
- Univ_Tours_Francois_Rabelais (FR)
- IFCE_Inst_Francais_Cheval_&_Equitat (FR)
- Univ_Lorraine (FR)
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