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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Traceability data management for food chains


Purpose - The main objectives of the paper are to identify the needs in data that are considered as fundamental for the efficient food traceability and to introduce a generic framework (architecture) of traceability data management that will act as guideline for all entities/food business operators involved. Design/methodology/approach - The traceability system introduced is based on the implementation of XML (eXtensible Markup Language) technology. In the first stage, the necessary traceability data are identified and categorized. In the second stage, the selected data are transformed and inserted into a five-element generic framework/model, using PML (Physical Markup Language), which is a standard technology of XML. Findings - The assessment of information communication and diffusion underlines that the particular model is simple in use and user-friendly, by enabling information flow through conventional technologies. Practical implications - The main feature of this framework is the simplicity in use and the ability of communicating information through commonly accessible means such as the internet, e-mail, and cell phones. This makes it particularly easy to use, even when it comes to the base of the supply chains (farmers, fishermen, cattle breeders, etc). Originality/value - An integrated traceability system must be able to file and communicate information regarding product quality and origin, and consumer safety. The main features of such a system include adequate "filtering" of information, information extracting, from already existed databases, harmonization with international codification standards, internet standards and up to date technologies. The framework presented in this paper fulfills all the above features.

  • GR
  • Aristotle_Univ_Thessaloniki (GR)
  • Univ_Macedonia (GR)
Data keywords
  • data management
  • XML
Agriculture keywords
  • supply chain
  • cattle
Data topic
  • big data
  • information systems
Document type

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

Institutions 10 co-publis
  • Aristotle_Univ_Thessaloniki (GR)
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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.