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
Water Patterns in the Landscape of Khorezm, Uzbekistan: A GIS Approach to Socio-Physical Research
A method is presented that uses a Geographic Information System (GIS) for integrating social science with physiographic data. Basis for the method is an empirical study on water use in irrigated agriculture in the Khorezm region. The boundaries of agricultural fields are used to link physiographic land characteristics such as proximity to the Amudarya river, land elevation etc. to survey answers of farmers, thereby explaining patterns of water access and water-saving practices. The results are based on (1) a statistical analysis across three water user associations (WUAs) and (2) visual observations within WUAs. The statistical analysis shows that proximity to the river influences water access and water-saving practices. One WUA thereby represents a specific tail-end situation within Khorezm's irrigation system with an exceptional prevalence of water-saving practices. In the visual analysis, the location of farms within the WUA and the land elevation are used to explain patterns of the survey answers. Despite data and method constraints and despite sometimes contrasting results from the statistical and visual analyses, it is concluded that the method has three advantages as compared to disciplinary, non-spatial approaches: (1) interdisciplinary data management is possible, including the identification of data gaps and consistency checks, (2) immediate data visualization facilitates quick monitoring of research processes and delivers starting points for disciplinary in-depth analyses, and (3) interdisciplinary data integration allows for truly socio-physical analyses. The analytical depth reached in the empirical study is thereby primarily a result of the quality and quantity of the collected data. Considerations concerning the protection of informants determine which kind of analyses can be conducted and published.
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