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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A data warehouse of muscle characteristics and beef quality in France and a demonstration of potential applications


The BIF-Beef (Beef Integrated and Functional Biology) database contains animal, carcass, muscle and meat data (331,745 entries) collected from 43 experiments over the last 20 years and a great number of variables (621) characterising muscles (fat and collagen contents, cross-section and types of fibres, metabolic activity), making it a relevant tool to relate muscle characteristics to beef quality. Wide variation was observed in all described traits according to muscle type, sex and breed. The BIF-Beef database was mainly composed of data from young bulls of late-maturing beef breeds, which is why live weight and carcass weights of the animals were greater, and beef was leaner and lighter than results from other existing databases. Average cross-sectional area of fibres was greater in Semitendinosus than in Longissimus thoracis muscle and, for Longissimus, greater in steers than in young bulls. Intramuscular fat content was in descending order: Charolais > Limousin > Blond d'Aquitaine and females > steers > young bulls. Semitendinosus muscle was less oxidative and contained more collagen than Longissimus muscle. Collagen content in Longissimus was higher in Charolais than in Blond d'Aquitaine and Limousin young bulls. Within the Charolais breed, collagen content in Longissimus was higher in young bulls and steers than in females. Longissimus samples from young bulls were less tender than from females. Based on the above results, this database is a prerequisite for meta-analysis of relationships between muscle characteristics and beef quality in the European context.

  • FR
  • Inra (FR)
  • VetAgro_Sup (FR)
  • ALLICE_Union_Natl_Coop_Elevage_&_Insem_Anim (FR)
  • AgroParisTech (FR)
Data keywords
  • data warehouse
Agriculture keywords
    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
    • Inra (FR)
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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.