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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FAO/INFOODS e-Learning Course on Food Composition Data


The FAO/INFOODS e-Learning Course on Food Composition Data was developed to close existing knowledge gaps on food composition of professionals working with those data. It covers the important aspects of food composition, is based on instructional design, is highly interactive and comprises 14 lessons of approximate 10 h duration. It was developed primarily for usage in universities, but also suits self-paced learning and blended learning programmes. It is available at: http://www.fao.org/infoods/infoods/training/en/free-of-charge in English, as on-line version or CD-ROM. Feedback from users was very positive and universities start to incorporate it into their curricula. The translation into other languages and the implementation of a certification and assessment programme are envisaged. e-Learning is cost-effective and reaches a wide audience. The course is expected to contribute to the improved data quality, usage, generation, publication and appreciation of food composition data. (C) 2014 Food and Agriculture Organization of the United Nations. Published by Elsevier Ltd. All rights reserved.

  • IT
  • FAO (IT)
Data keywords
  • e learning
  • knowledge
Agriculture keywords
  • agriculture
Data topic
  • information systems
  • knowledge transfer
Document type

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

Institutions 10 co-publis
  • FAO (IT)
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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.