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
After CNIS Data Challenge (DC04)-which was devised to test several key aspects of the CMS computing model-a deeper insight was achieved in most crucial issues for a successful Tier-1 operation with real data within the overall CNIS computing infrastructure. In particular, at the Italian Tier-1 centre located at CNAF, several improvements were implemented in one year since DC04, concerning the data management, the data distribution system using the CMS PhEDEx tool, the coexistence of local traditional farm operations and Grid official CMS Monte Carlo production, the development and use of tools to grant efficient data access to distributed users to analyze CNIS data via Grid tools, the long-term local archiving and custodial responsibility (e.g. MSS with Castor back-end), the daily CNIS operations on Tier-l resources which are shared among LHC (and not only) experiments, and so on. The outcome of CMS DC04, as well as the CMS use of INFN-CNAF Tier-1 resources, are briefly reviewed and discussed, yielding indications for a roadmap towards the operation of the regional centre when real data from LHC will be available. (c) 2005 Elsevier B.V. All rights reserved.
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