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
Selection of CAIs for Measuring Benefits of Investment in Rural Infrastructure on the Basis of Fuzzy Set theory
Rural infrastructure is essential for agricultural growth, economic development, and poverty alleviation, particularly in the developing countries such as China. However, existing research mainly focuses on the economic benefit of rural infrastructure investment while neglecting its social and ecological aspects. This paper aims at introducing a set of critical assessment indicators (CAIs) for evaluating the multifaceted benefits of investment in rural infrastructure in China. Research data were collected from a questionnaire survey and processed by the Monte Carlo Simulation (MCS). Fuzzy Set Theory serves as the theoretic basis for the research and plays an important role in selecting CAIs. The selected CAIs can help local government to make better decision when investing in rural infrastructure in China.
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