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
Agricultural policies of numerous states look forward to integrating national agricultural advisory systems (NAAS) so as to reach objectives related to agricultural production as well as to health, environmental protection, etc. Farm advisory services however vary widely according to the country and are undergoing profound reorganization in a context of generalized disengagement of the State on a national scale. Policy-makers are consequently confronted with unexpected problems, primarily due to wide disparities in the level of effectiveness of agricultural extension policies (differences between countries and between categories of farms within the same country). The aim of this paper is to propose a global analytical framework that relies partly on the service economics theory. This work reveals several characteristics of intangible services that are essential for analysing the implications of the transformation of NAAS, particularly: i) specific forms of interaction between service providers and beneficiaries, which constitute the service relationship; ii) the absence of a demand for services which would be autonomous from the supply; and iii) associated with these services, the existence of cumulative effects, either positive (learning, knowledge bases) or negative (exclusions, technological lock-in), which must be analysed for both front and back office activities. In light of this situation, two major problems stand out: i) errors due to a strictly short-term evaluation of the costs and benefits of agricultural extension systems; and ii) the selective effects of agricultural extension service policies based exclusively on uniform support for the demand. These findings highlight the possibility of applying new approaches to the innovation trajectories of NAAS.
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