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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BioSNI: A Semantic Network Integration Approach for Biological Data


Recently, the world is hunting for using life sciences data in solving the problems of fighting hunger in the next coming years. Integrating this data can be useful in areas of agricultural bioinformatics and other disciplines. However, efficient integration techniques must be developed to biological data since biological data has its own challenging characteristics, such as the existence of huge data existence, heterogeneous distributed data, and frequently updated data. In the current work, a semantic network for biological data integration is proposed, utilizing both ontology provided at OBO and atomic data provided at various biological databases to encompass an integrated data layer that can be queried using XQuery. Human and Yeast proteins are used as examples from UniProt release 14, integrated with other protein-related data, such as protein-protein interaction, protein domain, protein function, protein subcellular location, and related chemical reactions.

  • EG
    Data keywords
    • ontology
    • semantic
    Agriculture keywords
    • agriculture
    Data topic
    • big data
    • 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.