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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Environmental Risk Assessment


In many world regions, regulatory frameworks are in place to ensure that all pre-commercial genetically modified (GM) crops are evaluated for potential impacts on human health, animal health and the environment according to established standards of risk assessment and current scientific knowledge before authorizations for import or planting are granted. The environmental risk assessment for GM crops follows the same fundamental principles as other risk assessment schemes, i.e. risk is a function of hazard and exposure. However, one of the main differences that sets GM crop risk assessment apart is that it is highly dependent on the crop and the introduced trait; hence, a case-by-case approach is required. For many crop/trait combinations, the assessment is based on a comparison with an appropriate conventional non-GM crop. If agronomic/phenotypic and compositional/nutritional equivalence between the GM crop and its non-GM counterpart is demonstrated, the environmental risk assessment can focus on what is different. For products with no appropriate comparator, further testing or a non-comparative-based evaluation may be required. The goal of the environmental risk assessment is to systematically collect information to support decision making. This is achieved by focusing on end points that are clearly defined and aligned with environmental management goals defined by public policy. A well-constructed risk assessment should follow a logical progression or 'tiered approach', where all information available at a given time is gathered and assessed to determine what, if any, additional data must be collected to reach satisfactory risk conclusions. The risk assessment provides regulators with information that allows them to make knowledge-based decisions about the GM crop. Final authorizations for commercialization, whether for import or cultivation, take into account the outcome of the environmental risk assessment, a formal assessment of food and feed safety, and in certain cases also consider political, economic and societal factors. Although the details of the risk assessment frameworks for GM crops vary from country to country, the general principles upon which they are based are comparable. Since 1996, over 100 GM crop/trait combinations have been placed on the market without negative environmental impacts, demonstrating the robustness of existing frameworks. This chapter reviews the main principles and regulatory aspects of the environmental risk assessment of GM crops.

  • BE
  • US
  • GB
  • Syngenta (UK)
  • Monsanto_Co (US)
Data keywords
  • knowledge
  • knowledge based
Agriculture keywords
    Data topic
    • information systems
    • decision support
    • 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.