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
The analysis shows that the status of prothetic v- explored in old prints differs from contemporary common Czech. The non-etymological v- is conditioned by the following factors: 1) grammatical or lexical status of words (prothetic v- occurs most frequently in grammatical words, sporadically in prepositions vo 'about', vod 'from', in 3rd-person personal pronouns and in pronominal adverbs); 2) prefixation or non-prefixation (v- is more common in non-prefixed words, less frequent in prefixed words with prefix o-, rare in words with prefix od-, and quite sporadic in words with prefix ob-); 3) semantics of words (v- is common in names of domestic things and works, on the contrary, it is not used in abstract words, literary expressions and borrowings); 4) lexicalization (the most lexicalized forms are e. g. vorati 'to plough', votava 'aftermath', votruby 'bran'); 5) literary genre (agricultural literature is more opened to the phenomenon in question than biblical texts or chronicles); 6) text topics (most benevolent are mathematical texts, less agricultural texts and the least medical texts); 7) other factors, especially extralinguistic.
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