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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Knowledge-based profit distribution and bi-level principal-agent supervisory model of virtual enterprises


This paper mathematically described the process and function of the knowledge transfer between the Virtual Enterprises (VEs). The VE profit distribution model based on the knowledge transfer and knowledge innovation was presented according to the principal-agent theory. In order to quantify the actual value of the parameters in the profit distribution model, the Third Supervisory Organization (TSO) acting as level-2 client can be entrusted to perform dynamic supervision to the partner enterprises. The TSO can make comprehensive evaluation for the partners' quality; schedule, cost, and knowledge transfer level. The supervisory work of the TSO is proven to be effective and feasible with the proposed bi-level principal-agent model. The effective supervision and quantitative evaluation of TSO can make VE profit distribution more reasonable.

  • CN
  • Shanghai_Normal_Univ (CN)
  • E_China_Univ_Sci_&_Technol (CN)
Data keywords
  • knowledge
  • knowledge based
Agriculture keywords
    Data topic
    • information systems
    • modeling
    • 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.