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
Smart grids are energy networks based on digital technology used to supply and monitor energy flows via two-way digital communication; when coupled with smart metering systems, smart grids reach consumers and suppliers by providing information on real-time consumption. A smart grid allows for monitoring, analysis, control and communication within the supply chain to help improve efficiency, reduce energy consumption and cost, and maximize the transparency and reliability of the energy supply chain. The EU aims to replace at least 80% of electricity meters with smart meters by 2020. Meter Data Management System (MDMS) is a critical component to realizing the potential benefits of smart grids infrastructure; this system analyzes the data collected and sent by the Smart Meter to set electric power costs and to let consumers use energy efficiently. Most meter data management systems on the market today integrate multiple collection systems and act as the central data repository providing validated 'clean' data for all downstream systems such as billing, customer care, network management and business intelligence. Implementation and/or adopting an MDMS requires a comprehensive understanding of the true systems capabilities, systems key features and the ability of those features to perform; it also requires to rationalize the number of functionalities by eliminating redundancies. As a result, the configuration a MDMS with optimum functionality in an efficient manner is a tedious task. This paper explores the potential of Axiomatic Design as an alternative approach to configure an optimal MDMS tailored to the client needs. (C) 2015 The Authors. Published by Elsevier B.V.
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