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.

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Detection of paradigm shifts and emerging fields using scientific network: A case study of Information Technology for Engineering


Detection of emerging fields in any industry is of great importance to the industrialists, engineers and policy makers of business as well as state administration. Exact awareness of the paradigm which governs current research activities and chances of likely paradigm shifts which could redefine the research approaches, is very crucial for the actors of scientific community and policy makers. Excellent technologies in IT, even accelerated the scientific and applied ontological pursuit in both academia as well as industry. In this work, network approach is advocated for the identification of innovations, new paradigms and emerging fields in the IT industry in the research area 'engineering'. The network is a scientific network of research publications which reflects the volume and flow of scientific activities. Centrality analysis, path analysis, cluster analysis, etc. are used to identify the key papers of paradigm shifts, emerging fields, relatively important clusters and works respectively. A new metric, flow vergence index is devised for cluster analysis, The paradigm shift identified from this network is REID technology, related with the supply chain management. With proper economic and policy supports, there are some good reasons to look forward for more wonders from the industry. (C) 2014 Elsevier Inc. All rights reserved.

  • IN
  • Univ_Kerala (IN)
Data keywords
  • information technology
  • ontology
Agriculture keywords
  • supply chain
Data topic
  • information systems
  • modeling
Document type

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

Institutions 10 co-publis
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    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.