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
We present the PacCAF (Pacific CDF Analysis Farm) computing model for the CDF (Collider Detector at Fermilab) experiment. The PacCAF is a portal for job submission to a pool of computing nodes collected from the LCG (LHC Computing Grid) and the OSC (Open Science Grid) sites in the Pacific Asia region. It has a suit of services for user authentication, software distribution, and network connection to worker nodes. It also provides a web-based online monitoring system for the status of batch jobs and the processes running on worker nodes. The PacCAF architecture is modular and is easy to modify. We discuss the upgrade from being a dedicated local cluster to joining shared resources in a Grid computing environment.
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