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 GLAST Observatory was launched on June 11, 2008 and the Large Area Telescope (LAT) was activated on June 25. Some 15 GB of data is downlinked daily, transformed into 750 GB in the event reconstruction process, spread out over approximately 8 contacts per day. Each data run is farmed out to several hundred computing cores and results merged back together in our processing pipeline. The pipeline is designed to execute complex processing trees defined in xml and to handle multiple tasks simultaneously, including prompt data processing, simulations and data reprocessings. Our system has a pair of Oracle servers at its center to maintain all the state and dataset bookkeeping. Batch processing happens in the SLAC LSF batch farm with more than 2000 shared cores. The xrootd filesystem is used for high throughput and management of large disk pools. Nagios and Ganglia are used for problem alerts and tracking resource usage. Two operations simulations were performed before launch as full scale exercises with a day, then a week of fully simulated data rolled out in real time. These were key to flushing the final issues out before actual launch operations, which have been remarkably smooth.
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