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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A Knowledge-based Approach for Trend Impact Analysis


Policy/decision makers in governments, corporations and institutions all need to anticipate the future, analysis its impacts and be confidence about the consensus results. Future studies methods are often made to utilize quantitative and qualitative approaches using various methods such as Trend Impact Analysis (TIA). This paper introduces advanced knowledge-based trend impact analysis that integrates the enhanced Trend Impact Analysis, Structural Analysis, Ontology-based Real-Time Delphi and Explanation knowledge-based models to support the policy/decision makers with the impacts of wildcards on the future revenues and provide him to be more confident about the consensus results. This advanced knowledge-based Trend Impact analysis takes into account the benefits of knowledge sharing and explanation capabilities for generating the futures scenarios. The inputs of new TIA matrices are based on the knowledge of nominated and weighted large scale futurists and experts. The main contribution of this paper is the developed idea enhances the participatory approach for traditional TIA and overcomes different challenges of efficiency and effectiveness in the knowledge acquisition process. Also, this idea of knowledge-based TIA is novel, its implementation as a web-based tool and applied it to help policy/decision makers, in the Egyptian ministry of agriculture, for addressing the futures of the national food security.

  • EG
    Data keywords
    • knowledge
    • ontology
    • knowledge based
    Agriculture keywords
    • agriculture
    Data topic
    • modeling
    • semantics
    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.