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
Research and Design of an Agricultural Scientific Instruments Classification and Code Management System
As China enlarged the investment in agriculture, the agricultural scientific instruments promoted rapidly. It required us to face the questions scientifically such as the procurement, management, resources sharing, evaluation and etc. in agricultural scientific instruments. Because of the lack of unified classification and code standards, it greatly limited the scientific procurement, efficient management, resources sharing evaluation in agricultural scientific instruments. Therefore, the existing classification and code standards cannot meet the demand also. This paper studies and develops the agricultural scientific instruments classification and the code management system based on B/S (Browser/Server) structure and ASP.NET technology. The database used the Microsoft SQL Server, the Server application used C#, the browser based on XHTML + JavaScript. This system on the basis of database, realized the inquiring mode in the fuzzy sense of four kinds of different ways to query data in agricultural scientific instruments. And it also supports the Chinese character automatically converts spell brief-code etc. This system has a significant effect on agricultural science instrument information management and sharing It helps to improve the assets utilization rate and can regulate the state-owned assets management system also.
Inappropriate format for Document type, expected simple value but got array, please use list format