Project deliverable Open Access
e-ROSA D3.7 - Foresight Roadmap Paper
Zervas, Panagiotis;
Manouselis, Nikos;
Karampiperis, Pythagoras;
Hologne, Odile;
Janssen, Sander;
Keizer, Johannes
DCAT Export
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<dct:description><p>This roadmap is one of the outputs of the e-ROSA project &ldquo;e-infrastructure Roadmap for Open Science in Agriculture&rdquo; funded by the European Union&rsquo;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.</p> <p>The process all along the project was &ldquo;as open as possible&rdquo; with workshops, open consultations to discuss, enrich and assess the proposals. The methodology allowed to:</p> <p><br> - Understand the actual landscape using i) a bibliometric study to identify the academic actors working on &ldquo;Data AND Agriculture&rdquo; 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.<br> - 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<br> - 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.<br> - 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.</p> <p>Thus, this document is organized in 5 main sections:</p> <p><br> &bull; The vision &ldquo;Open science and Food systems in 2030&rdquo; as a driver of transformation<br> &bull; The challenges and the researchers&rsquo; needs to address<br> &bull; The analysis of the actual &ldquo;data ecosystem&rdquo;<br> &bull; The requirements for an e-infrastructure and its envisioned architecture<br> &bull; The recommendations for the implementation</p> <p>We have used the &ldquo;Share, connect, collaborate&rdquo; motto as guide trough this story as it appears to be the most federative challenges to build an e-infrastructure federating the actual scattered data ecosystem in the agri-food sciences:</p> <p><br> &bull; Sharing: of the resources of relevance to the scientific process (data, models, papers, etc). Open science is only possible if one is able to share one&rsquo;s research first.<br> &bull; Connecting: available resources need to be connected to allow integration and tackling large scale and more ambitious questions in science.<br> &bull; Collaborating: the research community itself needs to collaborate beyond ad-hoc arrangements to create, maintain and supply domain specific resources for open science in a network of regional or domain nodes.<br> This version will be updated, the readers should refer to the web site http://erosa.aginfra.eu to be informed of the latest developments.</p></dct:description>
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|---|---|---|
| Views | 716 | 372 |
| Downloads | 238 | 184 |
| Data volume | 282.0 MB | 232.9 MB |
| Unique views | 524 | 319 |
| Unique downloads | 205 | 161 |
Indexed in
- Publication date:
- October 17, 2018
- DOI:
-
- Keyword(s):
- e-infrastructure; bibliometric study; agriculture; data ecosystem; sustainability; open science; food system
- Grants:
-
European Commission:
- e-ROSA - Towards an e-infrastructure Roadmap for Open Science in Agriculture (730988)
- Communities:
- License (for files):
- Creative Commons Attribution Non Commercial 4.0 International