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
Food- and human nutrition-related subject headings or descriptors of the following thesauri-databases are assessed: NAL Thesaurus/Agricola, Agrovoc/Agris, CAB Thesaurus, FSTA Thesaurus, MeSH/Medline. Food concepts can be represented by thousands of different terms but subject scope of a particular term in sometimes vague. There exist important differences among thesauri regarding same or similar concept. A term that represents narrower or broader concept in one thesaurus can in another stand for a related concept or be non-existent. Sometimes there is no clear implication of differences between scientific (Latin) and common (English) names. Too many related terms can confuse end-users. Thesauri were initially employed mostly by information professionals but can now be used directly by users who may be unaware of differences. Thesauri are assuming new roles in classification of information as metadata. Further development towards ontologies must pay constant attention to taxonomic problems of representation of knowledge.
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