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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A classification and assessment of management information systems research in Mainland China


In this article, 410 papers published between 1999--2004 in ten leading Chinese academic journals related to IS in terms of subjects and methodologies are surveyed. A similar classification system used in research by Enrique Claver is adopted in order to find out the similarities and differences between North American and Chinese IS research. The most popular areas throughout these years have been IS Development and Information Technologies. IS Management have been the topic of a few number of articles, indicating the wide gap between domestic and abroad In IS Usage, research emphasis has transferred from Office automation or Factory automation to Business process reengineering, E-business, Supply chain management/logistics, and Knowledge management. An overwhelming majority of the studies are non-empirical. Among the theoretical studies are the conceptual ones, followed by illustrative and, finally, applied concepts. At a macro level, this information should help authors in the choice of appropriate subject areas and methodologies in most productive manner.

  • CN
  • Fudan_Univ (CN)
Data keywords
  • information system
  • knowledge
  • information technology
Agriculture keywords
  • supply chain
Data topic
  • information systems
  • modeling
Proceedings of the 2005 Conference of System Dynamics and Management Science, Vol 1: SUSTAINABLE DEVELOPMENT OF ASIA PACIFIC
Document type

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

Institutions 10 co-publis
  • Fudan_Univ (CN)
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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.