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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Data set Standardization and its Reusability in e-Government Under an Interoperability Framework -A Pilot Project to Enhance the Reusability of the Agreed Data Sets in Seven Government Domains


To enhance government public service efficiency, an information seamless flow across government agencies is required. The standardization and simplification of data set to be used in electronic data exchange is significant. The agreed guideline and framework is required in a real life application. Thai government created an e-government interoperability framework (e-GIF) to be used as a tool for data exchange implementation. It includes five main parts; business process modelling, data set standardization technique, XML schema building technique, a collection of agreed interoperable technical standards and change management. For the business process modelling, a technique based on UN/CEFACT Modelling Methodology has been used. For the data set standardization, a technique based on CCTS has been used. For XML schema building, a technique based on UN/CEFACT XML naming and design rules has been used. It is found that the reusability of the agreed data sets across various agencies is one of the significant success factors. In 2007 a project called electronic correspondent letter management system (e-CMS) began to standardize a data set in the domain of electronic official letters. In the project 30 ministerial departments involved to use and re-use the data set to achieve the seamless flow of electronic letter across those agencies. However in the project the data set is only in one domain of interest which is a letter. A new project had begun in 2008 to motivate more agencies to build further more standardized data sets from seven different domains. The finding is that the reusability of the data sets across various domain of interest is another significant success factor. In this project some data sets in the domains of education, labor, health, agriculture (livestock), research, governmental human resource and registrations had been built. Among the data sets from each domain, some data sets are very similar across different domain. To harmonize the similar data sets and reuse them as common data sets in different domain becomes significant. The common data sets are for examples; 'Person', 'Address', 'Education' and etc. The data set 'Person' appeared as 'Student' in education domain. It appeared as 'Labour' in labour domain and again appeared as 'Patient' in health domain. In this paper we illustrate that the reusability in those various domains increases the reusability across agencies which in turn enhances the seamless flow across government agencies.

  • TH
  • Thammasat_Univ (TH)
Data keywords
  • XML
Agriculture keywords
  • agriculture
  • livestock
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.