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
In the framework of WLCG, Tier-is need to manage large volumes of data ranging in the PB scale. Moreover they need to be able to transfer data, from CERN and with the other centres (both Tier-is and Tier-2s) with a sustained throughput of the order of hundreds of MB/s over the WAN offering at the same time a fast and reliable access also to the computing farm. In order to cope with these challenging requirements, at INFN Tier-1 we have adopted a storage model based on StoRM/GPFS/TSM for the D1T0 and D1T1 Storage Classes and on CASTOR for the D0T1. In this paper we present the results of the commissioning tests of this system for the ATLAS experiment reproducing the real production case with a full matrix transfer from the Tier-0 and with all the other involved centres. Noticeably also the new approach of direct file access from farm to data is covered showing positive results. GPFS/StoRM has also been sucessfully deployed, configured and commissioned as storage solution for an ATLAS INFN Tier-2, specifically the one of Milano. The results are shown and discussed in this paper together with the ones obtained for the Tier-1.
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