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This roadmap is one of the outputs of the e-ROSA project "e-infrastructure Roadmap for Open Science in Agriculture" funded by the European Union's Horizon 2020 research and innovation programme under the grant agreement No 730988. The consortium gathers two research performing organizations INRA (FR) and WUR (NL) and Agroknow (GR) a private company. More than 100 stakeholders were involved in the elaboration of this roadmap through the workshops and the project methodology to build a common knowledge, foresight and recommendations to achieve this vision. The process all along the project was "as open as possible" with workshops, open consultations to discuss, enrich and assess the proposals. The methodology allowed to: - Understand the actual landscape using i) a bibliometric study to identify the academic actors working on "Data AND Agriculture" ii) a bibliographic analysis of e-infrastructure roadmaps as reference for our future work iii) the identification and mapping of different entities (organization, initiatives, facilities, data points etc.) to describe the data ecosystem. - Analyse the scientific challenges and researchers needs, working on use cases in different domains: smart farming, omics/phenotyping, food and nutrition, with interviews and workshop - Describe a vision for open science in Agri-food and explain how an e-infrastructure could support this vision. The writing of this statement was planned from the beginning as a collaborative effort, not limited to the participants of the e-ROSA project. 17 professionals from 3 continents (USA, India, China, Europe) and important organizations (CGIAR, CAAS, ICAR, Bayer, INRA, CABI) participated in the online discussion and editing process. - Elaborate recommendations to achieve the vision addressing different issues, not only technical but also on human and economic aspects: culture change, skills and sustainability of the envisioned e-infrastructure. Thus, this document is organized in 5 main sections: • The vision "Open science and Food systems in ...

This roadmap is one of the outputs of the e-ROSA project "e-infrastructure Roadmap for Open Science in Agriculture" funded by the European Union's Horizon 2020 research and innovation programme under the grant agreement No 730988. The consortium gathers two research performing organizations INRA (FR) and WUR (NL) and Agroknow (GR) a private company. More than 100 stakeholders were involved in the elaboration of this roadmap through the workshops and the project methodology to build a common knowledge, foresight and recommendations to achieve this vision. The process all along the project was "as open as possible" with workshops, open consultations to discuss, enrich and assess the proposals. The methodology allowed to: - Understand the actual landscape using i) a bibliometric study to identify the academic actors working on "Data AND Agriculture" ii) a bibliographic analysis of e-infrastructure roadmaps as reference for our future work iii) the identification and mapping of different entities (organization, initiatives, facilities, data points etc.) to describe the data ecosystem. - Analyse the scientific challenges and researchers needs, working on use cases in different domains: smart farming, omics/phenotyping, food and nutrition, with interviews and workshop - Describe a vision for open science in Agri-food and explain how an e-infrastructure could support this vision. The writing of this statement was planned from the beginning as a collaborative effort, not limited to the participants of the e-ROSA project. 17 professionals from 3 continents (USA, India, China, Europe) and important organizations (CGIAR, CAAS, ICAR, Bayer, INRA, CABI) participated in the online discussion and editing process. - Elaborate recommendations to achieve the vision addressing different issues, not only technical but also on human and economic aspects: culture change, skills and sustainability of the envisioned e-infrastructure. Thus, this document is organized in 5 main sections: • The vision "Open science and Food systems in ...

Impact Assessment (IA) intends to collect evidence on the likely impacts of new policies and thereby minimize unwanted side-effects and maximize the benefits to society. Although it is a requirement in the EC and all OECD countries, the scope and methods vary considerably. Governments have invested considerably in research to support the evidence basis of policy making for sustainable development. However, the general picture shows a gap between the proliferation of IA tools from the scientific community and their actual use in the policy process. The FP7 network of excellence LIAISE (www.liaise- noe.eu) is designed to identify the causes for non-use of IA tools and bridge the gaps between researchers with a generally strong orientation towards their (disciplinary) peers and practitioners who tend to focus on their policy domain and policy problems. LIAISE aims at: 1) understanding of the policy process and the resulting needs for IA knowledge and IA tools; 2) description of IA tools and scientific IA expertise in a standardised way; 3) a shared IA toolbox targeted at the needs of both researchers and practitioners; 4) a shared IA research agenda integrating scientific knowledge gaps and the priorities for the development of new IA knowledge that arise from the future policy agenda; and 5) safeguarding the project results beyond the period of project funding, by developing an institutional setting and a business plan that facilitate the extension of the present consortium towards a broad centre of IA expertise with a structural permanence. A lively interaction between the different communities involved, is essential to realize these objectives. The Berlin Conference is an important opportunity to inform external research groups about the LIAISE approach to bridging the gap between science and policy. Their feedback and views on possible next steps in the further integration of the IA research community are highly valued, as well as their interest to become involved in this process.

Correspondance: wery@supagro.inra.fr ; International audience ; Introduction : Agricultural technologies and agricultural, environmental and rural development policies are increasingly designed to contribute to the sustainability of cropping and farming systems and to enhance their contributions to sustainable development at large. The effectiveness and efficiency of such policies and technological developments in realizing desired impacts could be greatly enhanced if the quality oftheir ex-ante assessments were improved. Four key challenges and requirements to make research tools more useful for integrated assessment in the European Union have been defined (Van I.ttersum et al., 2008): (a) overcome the gap between micro-macro level analysis, (b) decrease the bias in integrated assessments towards either economic or environmental issues, (c) ensure reusability of models and their use for indicator assessment and (d) overcome hindrances in technical linkage of models. Tools for: integrated assessment must have multi-scale capabilities and preferably allow application to a broad variety of policy questions. At the same time, to be useful for scientists, the framework must facilitate state-of-the-art science both on aspects of the agricultural systems and on integration. This paper presents the design of a framework for agricultural systems (SEAMLESS Integrated Fratnework) and discusses the implications for cropping and farming systems modelling.

Correspondance: wery@supagro.inra.fr ; International audience ; Introduction : Agricultural technologies and agricultural, environmental and rural development policies are increasingly designed to contribute to the sustainability of cropping and farming systems and to enhance their contributions to sustainable development at large. The effectiveness and efficiency of such policies and technological developments in realizing desired impacts could be greatly enhanced if the quality oftheir ex-ante assessments were improved. Four key challenges and requirements to make research tools more useful for integrated assessment in the European Union have been defined (Van I.ttersum et al., 2008): (a) overcome the gap between micro-macro level analysis, (b) decrease the bias in integrated assessments towards either economic or environmental issues, (c) ensure reusability of models and their use for indicator assessment and (d) overcome hindrances in technical linkage of models. Tools for: integrated assessment must have multi-scale capabilities and preferably allow application to a broad variety of policy questions. At the same time, to be useful for scientists, the framework must facilitate state-of-the-art science both on aspects of the agricultural systems and on integration. This paper presents the design of a framework for agricultural systems (SEAMLESS Integrated Fratnework) and discusses the implications for cropping and farming systems modelling.

Introduction : Agricultural technologies and agricultural, environmental and rural development policies are increasingly designed to contribute to the sustainability of cropping and farming systems and to enhance their contributions to sustainable development at large. The effectiveness and efficiency of such policies and technological developments in realizing desired impacts could be greatly enhanced if the quality oftheir ex-ante assessments were improved. Four key challenges and requirements to make research tools more useful for integrated assessment in the European Union have been defined (Van I.ttersum et al., 2008): (a) overcome the gap between micro-macro level analysis, (b) decrease the bias in integrated assessments towards either economic or environmental issues, (c) ensure reusability of models and their use for indicator assessment and (d) overcome hindrances in technical linkage of models. Tools for: integrated assessment must have multi-scale capabilities and preferably allow application to a broad variety of policy questions. At the same time, to be useful for scientists, the framework must facilitate state-of-the-art science both on aspects of the agricultural systems and on integration. This paper presents the design of a framework for agricultural systems (SEAMLESS Integrated Fratnework) and discusses the implications for cropping and farming systems modelling.

The disciplinary nature of most existing farm models as well as the issue specific orientation of most of the studies in agricultural systems research are main reasons for the limited use and re-use of bio-economic modelling for the ex-ante integrated assessment of policy decisions. The objective of this article is to present a bio-economic farm model that is generic and re-usable for different bio-physical and socio-economic contexts, facilitating the linking of micro and macro analysis or to provide detailed analysis of farming systems in a specific region. Model use is illustrated in this paper with an analysis of the impacts of the CAP reform of 2003 for arable and livestock farms in a context of market liberalization. Results from the application of the model to representative farms in Flevoland (the Netherlands) and Midi-Pyrenees (France) shows that CAP reform 2003 under market liberalization will cause substantial substitution of root crops and durum wheat by vegetables and oilseed crops. Much of the set-aside area will be put into production intensifying the existing farming systems. Abolishment of the milk quota system will cause an increase of the average herd size. The average total gross margin of farm types in Flevoland decreases while the average total gross margin of farms in Midi-Pyrenees increases. The results show that the model can simulate arable and livestock farm types of two regions different from a bio-physical and socio-economic point of view and it can deal with a variety of policy instruments. The examples show that the model can be (re-)used as a basis for future research and as a comprehensive tool for future policy analysis.