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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Monitoring treatment outcomes: understanding and managing expectations


Original aspects: There are a number of ways to assess the outcome of mastitis therapy, from the simple use of the California Milk Test, through assessment of somatic cell counts (SCC), to bacterial culture. Each of these methods has inherent advantages and disadvantages. However, only analysis of SCC responses, combined with lack of recurrence of clinical disease, offer the ability to perform such assessments in a large scale, cost effective and ongoing way. Clinical mastitis and SCC data have been collated from over 600 UK farms. These data have been analysed to establish the range of outcomes that might be expected for treatment of clinical and sub-clinical mastitis in different farm situations and suggest that rates of 'successful' treatment of clinical mastitis vary from less than 10% to greater than 70% on different units. This analysis will provide useful information to farmers and advisors when trying to establish and communicate herd performance. This approach is being incorporated into management software widely available in the UK (TotalVet) and internationally (UNIFORM & Dairy Data WareHouse). Communication: Whilst the solution to mastitis control on an individual unit is unlikely to reside in treatment alone, a key aspect of mastitis management is being able to communicate and manage farmer expectations of treatment. As part of the DairyCo Mastitis Control Initiative, software in addition to that outlined above, and based on published research evidence, has been developed to help farmers and their advisers understand the likely outcome of treating sub-clinically affected cows. Analysis of clinical mastitis outcomes on a large number of farms will also help inform farmers and consultants of realistic expectations when treating clinical mastitis.

  • GB
  • Univ_Nottingham (UK)
Data keywords
  • data warehouse
Agriculture keywords
  • farm
Data topic
  • 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.