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
Agriculture is considered to be the backbone of the country's economy. The emergence of ICT in the last couple of years has opened new challenges in the field of knowledge management concerning to distribution, sharing and integration. It is true that a lot of good practices related to agriculture are transferred without being well documented so most part of these practices remain tacit rather than explicit. Therefore, it is necessary to effectively manage knowledge for future generations before it disappears as a result of technological advancement. Knowledge management is considered as a challenge. In this paper, we have presented the knowledge management approach in the domain of agriculture, its results are presented by prototype implementation and its effectiveness has been checked by evaluation. This knowledge management approach assists the stakeholders to share and understand the domain and instance level knowledge, removes ambiguities as well as integration with other sources of knowledge compared to the traditional approaches of information management.
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