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
This paper empirically analyses some forms of Chinglish in graduate abstract translation and presents some measures to uproot them. The method used in this research is corpus-based analysis, with abstracts collected from a graduate writing class of Jilin Agricultural University as the primary data. The results show that there are mainly lexical and syntactic levels of Chinese English in graduate abstract translation, and the corresponding measures proposed in this study are the training of vocabulary and syntactic structure, as well as cultivating graduates' English thinking modes through reading authoritative literature and imitating abstract writings, followed by teacher feedback.
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