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

Integrated description of agricultural field experiments and production: a The ICASA Version 2.0 data standards

en
Abstract

Agricultural research increasingly seeks to quantify complex interactions of processes for a wide range of environmental conditions and crop management scenarios, leading to investigation where multiple sets of experimental data are examined using tools such as simulation and regression. The use of standard data formats for documenting experiments and modeling crop growth and development can facilitate exchanges of information and software, allowing researchers to focus on research per se rather than on converting and re-formatting data or trying to estimate or otherwise compensate for missing information. The standards developed by the International Benchmark Sites Network for Agrotechnology Transfer (IBSNAT) project and subsequently revised by the International Consortium for Agricultural Systems Applications (ICASA) were of considerable value for describing experiments. However, the resulting ICASA Version 1 standards did not consider important management practices such as tillage and use of mulches, lacked descriptors for certain soil and plant traits (especially related to nutrient levels), and contained minor logical inconsistencies. The ICASA standards have evolved to allow description of additional management practices and traits of soils and plants and to provide greater emphasis on standardizing vocabularies, clarifying relations among variables, and expanding formats beyond the original plain text file format. This paper provides an overview of the ICASA Version 2.0 standards. The foundation of the standards is a master list variables that is organized in a hierarchical arrangement with major separations among descriptions of management practices or treatments, environmental conditions (soil and weather data), and measurements of crop responses. The plain text implementation is described in detail. Implementations in other digital formats (databases, spreadsheets, and data interchange formats) are also reviewed. Areas for further improvement and development are noted, particularly as related to describing pest damage, data quality and appropriate use of datasets. The master variable list and sample files are provided as electronic supplements. Published by Elsevier B.V.

en
Year
2013
en
Country
  • US
  • CA
Organization
  • USDA_ARS_Agr_Res_Serv (US)
  • Univ_Guelph (CA)
  • Univ_Florida (US)
  • Washington_State_Univ (US)
  • CGIAR_IFPRI_Int_Food_Policy_Res_Inst (US)
  • IFDC_Int_Fertilizer_Dev_Ctr (US)
Data keywords
  • data management
  • vocabulary
en
Agriculture keywords
  • agriculture
en
Data topic
  • big data
  • information systems
  • modeling
en
SO
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Document type

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Institutions 10 co-publis
  • USDA_ARS_Agr_Res_Serv (US)
  • Univ_Guelph (CA)
  • Univ_Florida (US)
  • Washington_State_Univ (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.