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.

You can access and play with the graphs:

Discover all records
Home page


Delivery of agricultural drought information via web services


Data, information, knowledge, and wisdom are four basic steps of human perception process of objects. In order to better understand agricultural drought and make proper decisions, it is necessary to extract drought information out of related data (e.g., remotely sensed data) and discover knowledge from the extracted information. This paper explores advantages of Web services in providing on-demand agricultural drought analysis and facilitating the perception process in agricultural drought management. Four Web services, drawROI, getVCIStats, getDroughtPercentageByStates, and getDroughtTimeSeries, are presented in details in this paper. These Web services demonstrate improved support to drought analysis and decision-making for the general public and illustrate the potential of Web services in automating geospatial knowledge discovery and dissemination in the Big Data era.

  • US
  • George_Mason_Univ (US)
Data keywords
  • knowledge
  • big data
Agriculture keywords
  • agriculture
Data topic
  • information systems
  • semantics
Document type

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

Institutions 10 co-publis
    Powered by Lodex 8.20.3
    logo commission europeenne
    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.