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
Construction Technology of the Distributed Management Platform on Mass Agricultural Information Resource
The quantity of the agricultural information resource increases exponentially. Thus, the traditional management mode can't satisfy the requirement. Many problems, such as storage facilities, query efficiency and synchronous update efficiency. The construction of the management platform on mass agricultural information resource based on the distributed mode has become a valid solution. By dissecting the Hadoop principle, the technical architecture of the distributed management platform on mass agricultural information resource, several core techniques, such as distributed storage about large files, distributed data model, cooperative scheduling method and data synchronization method, has proposed in this work. These methods provide theory evidence for the construction of the management platform.
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