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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Long-term energy models: Principles, characteristics, focus, and limitations


There are many long-term energy models currently in use with different underlying principles, characteristics, inputs, and outputs. Over the past 30 years, considerable efforts have been made to develop new models, following different approaches that vary in terms of model starting point and on the type of questions they are designed to answer. These models focus on the period to 2050 and to 2100 and are used to build future energy scenarios to assess the impacts of policy decisions and to build a rich knowledge base for climate change and energy security policies. PET, TIAM, and MESSAGE (examples of energy system models) provide a range of technology detailed energy system configurations to deliver future energy service demands at least cost. By contrast, GEM-E3, GEMINI-E3 and, GTEM (examples of general equilibrium models) are also optimization models, but here the energy system is less detailed but the whole economy is modeled. Other models (e.g., POLES) simulate the future evolution of energy demand and supply and a number of models have been developed that include energy, but which focus on integrated assessment of the economy energy and climate response (e.g., FUND, GCAM, and MERGE). It is important for energy analysts to assess what type of model best suits the requirement and to recognize the limitations of the various models available. Significant work is required to improve linkages between models to harness respective strengths and major modeling gaps (agriculture, land use, and behavior) require a specific focus for future work. (C) 2013 John Wiley & Sons, Ltd.

  • IE
  • Natl_Univ_Ireland (IE)
Data keywords
  • knowledge
  • knowledge based
Agriculture keywords
  • agriculture
Data topic
  • modeling
Document type

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

Institutions 10 co-publis
  • Natl_Univ_Ireland (IE)
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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.