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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Agriculture-Related Concepts in Non-agricultural and General Thesauri


We identified general indexing concepts, based on descriptors (preferred-terms) which contain terms 'agriculture and 'agricultural', in several non-agricultural and general information systems/databases, and respective thesauri (controlled vocabularies), covering fields of civil, mechanical, chemical engineering, physics, psychology, medicine, biomedicine, education, business, economics. finance, library science, sociology, social and political sciences and related disciplines (for example, CSA-Illumina ERIC (Education Resources Information Center), LISA (Library and Information Science Abstracts), Sociological Abstracts (Sociological Indexing Terms), Ebsco Academic Search Complete (Subject Terms), Medline (MeSH), Political Science Complete, Ei Engineering Village Compendex and Inspec, PsycINFO (Thesaurus of Psychological Index Terms), ABI/Inform Global (Pro Quest Thesaurus). We compared characteristics, strengths and limitations of thesauri in each respective system with regard to searching (word-, phrase-indexing, truncation (wildcard). stemming, autostemming, hierarchical structure (tree-structures) and relations among preferred-, non-preferred terms, Narrower. Broader and Related Terms. We assessed database coverage of general agriculture-related topics based on retrieval with these terms.

  • SI
    Data keywords
    • vocabulary
    • information system
    Agriculture keywords
    • agriculture
    Data topic
    • information systems
    • 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.