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 on the Data Conversion Specification for Chinese Agricultural Product Quantity Safety
This paper summarizes the current main methods of heterogeneous data conversion, focuses on the necessity of establishing the data conversion specification for China's agricultural product quantity safety, as well as specifies the main designs and solutions for data conversion structure, data conversion process and data conversion format in research. Establishing a data conversion specification is a pioneering work of applying modern information technology management methods in the research areas of agricultural macroeconomic policy-making system, which plays a positive role in promoting the study of modern agricultural information system. The establishment of data conversion specification can not only improve the level of agricultural information technology research, but can also create a better research and development environment for the study of agricultural information system.
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