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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EST-based Gene Indices for the Cattle Fever Tick, the Horn Fly, and the Screwworm Fly


The southern cattle tick, Rhipicephalus (Boophilus) microplus, the horn fly, Haematobia irritans, and the New World screwworm, Cochliomyia hominivorax, are economically important parasites of cattle throughout the world. Understanding the biology and genomics of these pests is critical to developing novel control methods. We developed EST sequence databases for these parasites and used bioinformatic analysis to identify conceptual open reading frames and assigned Gene Ontology (GO) terms to those database transcripts that had informative BlastX hits. Bioinformatic analysis showed that a large fraction of the tick database entries have no clear matches in other sequenced genomes. Several putative tick G protein-coupled receptors (GPCRs)were identified that might serve as starting points to develop novel control technologies.

  • US
  • USDA_ARS_Agr_Res_Serv (US)
Data keywords
  • ontology
Agriculture keywords
  • cattle
Data topic
  • information systems
  • semantics
Document type

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

Institutions 10 co-publis
  • USDA_ARS_Agr_Res_Serv (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.