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 of an integrated Cropland and Soil Data Management system for cropping system applications


Most cropping system models and decision_support tools are structured for site-specific (i.e. field- or point-based) simulation and analysis. As the need grows for analyses on crop production and management at local, county, state, national, and even global scales, cropping system models and decision_support tools are increasingly structured to provide the capability for area-wide simulation and analysis at a range of spatial scales. A major challenge is the development of a data management system that can provide dynamic access to large volumes of geo-referenced data needed by such applications. The objective of this paper is to present a methodology to develop a Cropland and Soil Data Management system that is capable of automatic data consolidation and integration, and can provide dynamic access to the integrated data by cropping system applications. The Cropland Data Management component of the system is based on the Cropland Data Layer (CDL) products from the USDA National Agricultural Statistics Service and is implemented with seven program modules: Data Requester, Data Fetcher, Data Parser, Geodatabase Builder, Map Service Builder, Map Cache Generator, and Cropland Map Viewer. The Soil Data Management component is based on the Soil Survey Geographic (SSURGO) database from the USDA Natural Resources Conservation Service and is implemented with six program modules: Data Requester, Data Fetcher, Data Parser, Database Builder, Soil Map Generator, and Soil Map Viewer. The approaches and methodology presented in the paper can serve as a reference for those who are interested in developing integrated cropping system applications. (C) 2011 Elsevier B.V. All rights reserved.

  • US
  • Texas_A&M_AgriLife_Res (US)
Data keywords
  • information system
  • data management
Agriculture keywords
  • crop system
  • agriculture
Data topic
  • big data
  • information systems
  • sensors
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.