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
Little effort has been made to link soil mapping and soil data density to a nation's welfare. Soil map density in 31 European countries and 44 low and middle income countries is linked to Gross Domestic Product (GDP) per capita and the number of soil scientists per country. National coverage of exploratory soil maps (> 1:250 000) is generally higher in the poorest countries and decreases with increasing GDP per capita, whereas the national coverage of detailed soil maps (< 1:50 000) tends to increase with increasing GDP. GDP is larger in countries with more soil scientists per unit area, likewise, the number of soil scientists increases with increasing GDP. More soil scientists per ha of agricultural land was found to be related to higher crop yields. Obviously, there are many confounding and interacting factors but this analysis illustrates how proxies for soil map density can be used; it is suggested that appropriate indicators should also be developed for spatial data infrastructures and digital soil maps to demonstrate their effectiveness for society and human welfare.
Inappropriate format for Document type, expected simple value but got array, please use list format