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
Internationally, employability has recently become an increasingly controversial issue in higher education. The emergence of knowledge-based economies, accompanied by the by-products of globalization, has forced agricultural higher education systems all around the world to think twice about the quantity and quality of their courses. On one hand, there has been a surplus of highly educated graduates seeking a career, while on the other hand, potential employers complain of a skill-mismatch phenomenon. Employability is defined as the perceived ability of conquering sustainable employment appropriate to one's qualification(s). This study evaluates factors influencing the employability of senior agricultural students at the level of Bachelor of Science (BSc) using a descriptive-correlation survey methodology. A sample of 274 out of 979 senior agricultural students was selected from agricultural faculties of five universities located in the western provinces of Iran through a stratified random sampling technique. Students showed moderate employability levels, which were significantly different depending on their field of study. The path analysis technique revealed that social class, university obligations, mastery in generic competencies, and agricultural background were the most important factors affecting students' perceived employability, respectively.
Inappropriate format for Document type, expected simple value but got array, please use list format