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
Modern societies around the world face new challenges involving climate change, droughts, land use and development, resource extraction, population growth and rapid urbanization. These massive forces and their interconnections are having a dramatic effect on the way these societies manage and analyze their water resources. More specifically, problems such as the impact of extreme weather events (e.g., droughts, floods, hurricanes) on urban systems (e.g., roads, trains, buses), rural farm land, energy infrastructures, and emergency management systems, to name a few, are interrelated in very complex ways. Excess water in general, for example, has been a significant consequence of these events and is now the leading cause of insurance claims for infrastructure and property damage. To deal with such challenges, governments recognize that plans for growth must reflect the needs and opportunities of local communities while balancing the cumulative effects of economic growth with environmental concerns. In this paper we describe our collaborative efforts to develop and deploy cumulative effect decision_support software (CEDSS) tools as an open and big data cloud-based platform for cumulative environmental analysis and management.
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