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
Creation and maintenance of a computerized information system that not only manages agricultural field experiments data efficiently but also provides its statistical analysis is essential for researchers, planners and farmers. Generally data created by the researchers is collected, processed and stored in different physical locations and is poorly disseminated. Data is usually retained at the level of each physical entity for organizational use. An adequate analysis of agricultural field experiments and interpretation of results over time and space seems to be lacking to effectively use it for agricultural policy planning and other purposes. An attempt has been made by creating a computerised Agricultural Field Experiments Information System (AFEIS) at ICAR-Indian Agricultural Statistics Research Institute (IASRI). This system has been aimed at addressing this urgent need by establishing a single, centralized data storage and retrieval system for agricultural field experimental data generated in the country. Development of this system will help the agricultural research workers, planners as well as the farmers to a great extant in this direction.
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