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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Development and implementation of a climate data management system for western Pacific small island developing states


This study describes the development and deployment of a new climate data management system aimed at improving climate data management and associated climate services in Pacific island countries and East Timor. The system is called Climate Data for the Environment (CliDE). Installed locally, it provides each country with a central relational database and web-based user interface that includes customizable key entry forms, quality control tools, station maintenance forms, meteorological and climate reports, and data file extracts. It has been deployed as free and open source software in 15 countries (East Timor, Papua New Guinea, Solomon Islands, Vanuatu, Palau, Federated States of Micronesia, Nauru, Marshall Islands, Kiribati, Tuvalu, Fiji, Tonga, Samoa, Niue and Cook Islands). In developing CliDE, the project team sought to develop a database capable of providing a robust method of managing an individual country's meteorological observations from networks typically consisting of several to hundreds of stations. In many Pacific countries significant data remain only in paper form; therefore, a key consideration was in providing a secure and efficient means for digitizing paper records. As CliDE has developed, it has become the central hub of a multitude of climate and meteorological services of benefit to small national meteorological services, such as statistical reports, graphical analyses, data extractions, climate summaries, and products that can provide input to public works planning, agriculture and health sectors. It has helped improve significantly the work flow, data integrity and consistency beyond previous practices in the western Pacific.

  • AU
    Data keywords
    • data management
    Agriculture keywords
    • agriculture
    Data topic
    • big data
    • information systems
    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.