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
This chapter discusses the information technology requirements of systemic risk management, from the point of view of a hypothetical regulator of an "originate-to-distribute" (O-D) financial supply chain. We take the view that, even though the mortgage sector remains seriously disabled following the World Financial Crisis of 2008, the information technology requirements for the collection and transmission of data, as well as the performance of various analytical operations, at each step of the O-D process are in fact generic to the development of scale efficiencies in funding consumer and small commercial loans. This chapter identifies requirements for the construction and use of scalable, data and compute intensive analytical solutions capable of meeting the challenge of decision_support for institutions concerned with broad scope risk. Such considerations apply not just in the financial system, of course. But our discussion is particularly motivated by requirements for public regulators, financial services entities and other business entities with significant liquidity and financial management needs.
Inappropriate format for Document type, expected simple value but got array, please use list format