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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The Study on the Organization Approach of Agricultural Model Components Library Based on Topic Map


The definition and representation on the model base's descriptions are the basis of reuse, integration and management of heterogeneous model resources. The study proposed the organization method of the agriculture model components based on topic maps. On the basis of the meta-modeling techniques and the topic map techniques, the study comprehensively analyzed the agricultural model characteristics, extracted the model component facets and its associated descriptions, and established the agricultural model component library's description model (DM-AMCL). Then, it hierarchically mapped and annotated the model component semantic and syntactic information by using the topic map. We designed the organization framework of the agriculture model components library on topic maps (TM-AMCL). For example of wheat development model, the XTM document instance is build. The result shows that, converting the agriculture models base to TM-AMCL can provide a unified descriptions and access to data for the intelligent decision_support system developers, the managers of agriculture model and the computer system.

  • CN
  • Nanjing_Agr_Univ (CN)
Data keywords
  • agricultural model
  • semantic
Agriculture keywords
  • agriculture
Data topic
  • modeling
Document type

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

Institutions 10 co-publis
  • Nanjing_Agr_Univ (CN)
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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.