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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Didactical Aspects of Organization of Practical Problem Solving in Mathematics in E-environment


Study process in mathematics faces two major problems. First, engineers do not apply directly the problem solving skills of higher mathematics. Second, studying higher mathematics, students get an insufficient idea of its usability. It means that it is necessary to include the use of mathematics in the study process. Problems are: 1) that the number of ECTS has been reduced in mathematics and there is no time to solve practical mathematical tasks; 2) teachers of mathematics as nonprofessionals are supposed to explain technical concepts which have been taken out of the context and therefore they are not easy understandable for students. The purpose of this paper is to find the way how to organize the self-directed study of mathematics' practical application based on didactic approach and e-learning features. The authors of the paper has worked out frameworks for organization of general and practical problem solving in mathematics on the basis of didactic ontology. Moodle computerized learning system (CMS), which is one of the main teaching tools at the Latvia University of Agriculture, was chosen as a practical example for self-directed study organization. Moodle has two main tools for problem solution mentioned before the glossary auto-linking filter and the lesson module. The combination of these tools can improve usability of mathematics in specific subjects and students' knowledge about mathematical operations in the field of their academic study.

  • LV
    Data keywords
    • e learning
    • knowledge
    • ontology
    Agriculture keywords
    • agriculture
    Data topic
    • knowledge transfer
    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.