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
Open Access to scientific knowledge: a methodological model for scientific information and knowledge management at the Brazilian Agricultural Research Corporation (Embrapa)
This paper presents a methodological model for the establishment of Open Access to scientific information at Embrapa, as a strategy for scientific information and knowledge management. The model consists of elements that speed up scientific communication processes and allow for the research output management. The aim is to provide the necessary mechanisms to capture, store, organize, preserve and widely disseminate the scientific knowledge produced by Embrapa and by the scientific community involved in agricultural research, through the implementation of the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH). It is our contention that effective information management improves institutional scientific communication, which contributes for the betterment of scientific research related processes.
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