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
The ever faster development of information technologies as well as the progress to information society trigger the increased use of IT tools (software and hardware) in the business environment. This article presents the concept of designing a gateway to the continuous information needed by the small agribusinesses. Although agriculture is the economic sector with the least use of information science, the professional success of the agriculture business players and their mere existence on the market is in part due to the use of computers. The concept is based on a survey carried out in the agricultural business environment of Lunguletu village in Romania. In order to test the formulated hypotheses, we used the nonparametric method for the comparison among Chi square groups.
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