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
Educators at agricultural academic institutions and those involved in professional degree programs need to continue to develop and broaden their pedagogic efforts: such efforts will help farmers face the variety of challenges associated with the design and implementation of the (forage) agroecosystems of the future. The range of disciplines taught should be expanded to include, notably, ecology and the environmental sciences. Additionally, educational efforts should promote the ability to adapt to and diagnose situations and encourage critical thinking and creativity, particularly using internships and hands-on experiences. In this context, the farms run by agricultural educational institutions can be extremely helpful. It is also important to teach farmers to use new diagnostic approaches (e.g., MCDA) and tools that will allow them to exploit sources of knowledge and information (e.g., e-learning, MOOCs, and-soon-big data). Such educational efforts play an essential role in permitting farmers to identify the information that will be of the greatest use to them.
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