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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Last years, teaching has been in a process of transformation after the use of new technologies. With the immersion of ICT in the teaching-learning process has facilitates the use of information sources increasingly updated to provide both the student and teacher a better professional performance. Usually the contents of a textbook to work in the classroom are not enough for a student who needs to get to content with depth; therefore he/she requires additional teaching materials that can be consulted. Agronomy and Veterinary Medicine majors at the Agrarian University of Havana (UNAH) include subjects with high needs of laboratory practice and visual aids which not always can be carried out effectively or do not have the ideal samples to work with. Due to the great use of images it was necessary an application to store and manage them efficiently with necessary descriptions to facilitate learning. That is why this paper proposes a methodology for creating objects of learning in UNAH using domain ontologies and semantic similarity measures in the management of resources. A case study in which the proposal is validated and the relevance of this methodology is presented is determined. This methodology is part of the interests of the UNAH to support the computerization program of the university. The images stored are learning objects that are described as the standard IMS-CP. To validate the proposal two groups of students were selected. A sample of 15 students was selected to build their own knowledge, individually, with learning objects at their disposal. The other students who did not have these objects were called control. To perform the study each of the periodic evaluations were performed by the students were analyzed. Both quality and quantity of approved on assessments were taken into account. The academic performance of each student was analyzed, and the group as a whole. These assessments included the final exam. The results of the study conducted were positive in the case of the sample, in which students developed new learning strategies, thus there was an increase in the quality of assessments and the academic score for each student, for the group and not for the control.

  • CU
  • ES
  • Univ_Alicante_UA (ES)
Data keywords
  • semantic
  • knowledge
  • ontology
Agriculture keywords
  • agronomy
Data topic
  • information systems
  • knowledge transfer
  • 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.