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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Title

Harmonization and translation of crop modeling data to ensure interoperability

en
Abstract

The Agricultural Model Intercomparison and Improvement Project (AgMIP) seeks to improve the capability of ecophysiological and economic models to describe the potential impacts of climate change on agricultural systems. AgMIP protocols emphasize the use of multiple models; consequently, data harmonization is essential. This interoperability was achieved by establishing a data exchange mechanism with variables defined in accordance with international standards; implementing a flexibly structured data schema to store experimental data; and designing a method to fill gaps in model-required input data. Researchers and modelers are able to use these tools to run an ensemble of models on a single, harmonized dataset. This allows them to compare models directly, leading ultimately to model improvements. An important outcome is the development of a platform that facilitates researcher collaboration from many organizations, across many countries. This would have been very difficult to achieve without the AgMIP data interoperability standards described in this paper. (C) 2014 Elsevier Ltd. All rights reserved.

en
Year
2014
en
Country
  • US
  • AU
  • GR
  • NL
  • FR
  • BE
Organization
  • Univ_Florida (US)
  • CSIRO (AU)
  • Washington_State_Univ (US)
  • USDA_ARS_Agr_Res_Serv (US)
  • Wageningen_Univ_and_Res_Ctr_WUR (NL)
  • Inra (FR)
  • Katholieke_Univ_Leuven (BE)
  • Univ_Maryland_College_Pk (US)
  • Democritus_Univ_Thrace_DUTH (GR)
Data keywords
  • agricultural model
  • data harmonization
en
Agriculture keywords
  • agriculture
en
Data topic
  • information systems
  • modeling
en
SO
ENVIRONMENTAL MODELLING & SOFTWARE
Document type

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

Institutions 10 co-publis
  • Univ_Florida (US)
  • CSIRO (AU)
  • Washington_State_Univ (US)
  • USDA_ARS_Agr_Res_Serv (US)
  • Wageningen_Univ_and_Res_Ctr_WUR (NL)
  • Inra (FR)
  • Univ_Maryland_College_Pk (US)
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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.