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
The KM3NeT project studies the design of an underwater neutrino telescope combined with a Multidisciplinary underwater observatory in the Mediterranean. Data from the telescope will arrive on where they will be processed in real time at a data filter farm and subsequently stored and backed up at a central computing centre located on site. From there we propose a system whereby the data are distributed to participating institutes equipped with large Computing centres for further processing, duplication and distribution to smaller centres. The data taking site hosts the central data management services, including the database servers, bookkeeping systems and file catalogue services, the data access and file transfer systems, data quality monitoring systems and transaction monitoring daemons and is equipped with fast network connection to all large Computing sites. Data and service challenges in the Course of the preparatory phase must be anticipated in order to test the hardware and software components in terms of robustness and performance, scalability as well as modularity and replaceability, given the rapid evolution of the market both in terms of CPU performance and storage capacity. The role of the GRID would also have to be evaluated and the appropriate implementation selected on time for an eventual test in the context of a data challenge before the start of data taking. (C) 2008 Elsevier B.V. All rights reserved.
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