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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Constructing a water quality 2.0 OLAP system in Taiwan


Obtaining water suitable for human consumption is an important issue in both agricultural and industrialized countries. In areas with limited water supplies, water should be carefully managed by all users instead of by only the water agency. Therefore, a water monitoring system should allow interested monitors, such as government economists, researchers and public users, to participate in managing the water quality. However, most water information is distributed in formats that are not convenient for a general holistic analysis. Moreover, interpreting the output of environmental systems involves specialized domain knowledge that is not well understood by the public. How to integrate all of the available data to provide useful knowledge and understandable conclusions to users of different backgrounds is an important issue. This paper presents a water quality 2.0 OLAP system designed for the South Water Resources Bureau (TSWRB) of Taiwan. The concept of Web 2.0 has been adopted to integrate qualified data resources. In addition, an On-Line Analytical Processing (OLAP) system was used to analyze data from distributed resources to increase the understanding of water quality information of non-experts. This system provides a framework for all users to collaborate in monitoring water quality and in protecting limited water resources. (c) 2011 Elsevier Ltd. All rights reserved.

  • TW
  • Natl_Cheng_Kung_Univ_NCKU (TW)
Data keywords
  • knowledge
  • knowledge based
Agriculture keywords
  • agriculture
Data topic
  • 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.