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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Prospects and challenges for the conservation of farm animal genomic resources, 2015-2025


Livestock conservation practice is changing rapidly in light of policy developments, climate change and diversifying market demands. The last decade has seen a step change in technology and analytical approaches available to define, manage and conserve Farm Animal Genomic Resources (FAnGR). However, these rapid changes pose challenges for FAnGR conservation in terms of technological continuity, analytical capacity and integrative methodologies needed to fully exploit new, multidimensional data. The final conference of the ESF Genomic Resources program aimed to address these interdisciplinary problems in an attempt to contribute to the agenda for research and policy development directions during the coming decade. By 2020, according to the Convention on Biodiversity's Aichi Target 13, signatories should ensure that the genetic diversity of ...farmed and domesticated animals and of wild relatives ...is maintained, and strategies have been developed and implemented for minimizing genetic erosion and safeguarding their genetic diversity." However, the real extent of genetic erosion is very difficult to measure using current data Therefore, this challenging target demands better coverage, understanding and utilization of genomic and environmental data, the development of optimized ways to integrate these data with social and other sciences and policy analysis to enable more flexible, evidence based models to underpin FAnGR conservation. At the conference, we attempted to identify the most important problems for effective livestock genomic resource conservation during the next decade. Twenty priority questions were identified that could be broadly categorized into challenges related to methodology, analytical approaches, data management and conservation. It should be acknowledged here that while the focus of our meeting was predominantly around genetics, genomics and animal science, many of the practical challenges facing conservation of genomic resources are societal in origin and are predicated on the value (e.g., socio-economic and cultural) of these resources to farmers, rural communities and society as a whole. The overall conclusion is that despite the fact that the livestock sector has been relatively well-organized in the application of genetic methodologies to date, there is still a large gap between the current state-of-the-art in the use of tools to characterize genomic resources and its application to many non-commercial and local breeds, hampering the consistent utilization of genetic and genomic data as indicators of genetic erosion and diversity. The livestock genomic sector therefore needs to make a concerted effort in the coming decade to enable to the democratization of the powerful tools that are now at its disposal, and to ensure that they are applied in the context of breed conservation as well as development.

  • GB
  • PT
  • IT
  • CH
  • FR
  • HR
  • FI
  • AT
  • NO
  • PK
  • BE
  • DK
  • NL
  • UG
  • DE
  • ES
  • TH
  • CN
  • Cardiff_Univ (UK)
  • FAO (IT)
  • Univ_Nottingham (UK)
  • Aalborg_Univ (DK)
  • Utrecht_Univ (NL)
  • Wageningen_Univ_and_Res_Ctr_WUR (NL)
  • Agroscope (CH)
  • Tech_Univ_Munich (DE)
  • Univ_Complutense_Madrid_UCM (ES)
  • Inra (FR)
  • CAS_Chinese_Acad_Sci (CN)
  • EPFL_Swiss_Fed_Inst_Technol_Lausanne (CH)
  • Univ_Grenoble_Alpes (FR)
  • CERSA_Ctr_Res_&_Study_Agr_&_Food (IT)
  • Univ_Cattolica_S_Cuore (IT)
  • Wellcome_Trust (UK)
  • Royal_Zool_Soc_Antwerp (BE)
  • Walailak_Univ (TH)
  • Univ_Fribourg (CH)
Data keywords
  • data management
Agriculture keywords
  • farm
  • livestock
Data topic
  • big data
Document type

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

Institutions 10 co-publis
  • FAO (IT)
  • Aalborg_Univ (DK)
  • Utrecht_Univ (NL)
  • Wageningen_Univ_and_Res_Ctr_WUR (NL)
  • Inra (FR)
  • CAS_Chinese_Acad_Sci (CN)
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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.