e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

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:

Discover all records
Home page


Configuration a meter data management system using axiomatic design


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.

  • RO
  • Tech_Univ_Gheorghe_Asachi_Iasi (RO)
Data keywords
  • data management
Agriculture keywords
  • supply chain
Data topic
  • big data
  • information systems
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
    Powered by Lodex 8.20.3
    logo commission europeenne
    e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
    Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.