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
Since GMO monitoring is an European challenge, data from different observation systems and different cultivation areas must be managed and analysed in a centralised way. Well-founded statistics that powerfully can analyse monitoring data for possible adverse effects of GMO cultivation needs precise definitions of monitoring characters and quantifications of such effects. Whereas today the fundamental concept for GMO monitoring seems to be clear (identification of protection goals, derivation of monitoring characters, analysis of these characters for adverse effects) the kind of gathering data, especially the use of existing networks, and therefore the amount of monitoring characters and their handling is still controversial. Of course GMO monitoring should take place where GMOs are cultivated. Therefore the network of monitoring locations is settled by cultivation areas. As a basic tool for GMO monitoring farm questionnaires have been established. Data gathered on monitoring characters for protection goals in the agro ecosystem build the fundamental database for the analyses on possible adverse effects. Additional information on characters which may be not provided by this tool can be gathered by existing environmental observation networks which were established to act as continuous and comprehensive reporting systems and therefore to survey and analyse environmental data. Considering the data management and analysis, each observation system has its own, but similar structure: monitoring characters are surveyed and analysed for trends or significant differences. While the data from farm questionnaires are clearly analysed for a GMO effect, the existing networks report on trends in general - where the causes for unusual or adverse trends - may even be unknown. A practical GMO monitoring therefore should use these systems by checking the reports on unusual trends for their possible connection to GMO cultivation. This can only be done by linking their data to the data gathered from cultivation sites, and therefore to the basic monitoring database - i. e. the data being surveyed by farm questionnaires. The data management systems and possible intersection points of farm questionnaires and other existing networks will be presented. A proposal for the organisation of a European-wide monitoring will be given.
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