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GODAN Data Ecosystem Working Group - The e-ROSA project

e-ROSA
e-ROSA

The document summarizes the objectives and approach of the e-ROSA project. The e-ROSA project aims to (1) build a community of researchers and stakeholders in agricultural data science, (2) map the current landscape of relevant research infrastructures, projects, policies, and (3) develop a roadmap to guide the creation of a European open science infrastructure for agriculture. To achieve these objectives, e-ROSA will conduct a bibliometric analysis, develop an online map of existing resources, solicit input through an open call, and validate findings through workshops. The end goal is to provide a comprehensive overview of the current state of agricultural data and help establish a shared vision for open science in the agriculture domain in Europe

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WWW.EROSA.AGINFRA.EU
e-ROSA has received funding from the European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 730988
e-ROSA: Towards an e-infrastructure
Roadmap for Open Science in Agriculture
Mapping the Ecosystem and Community
GODAN Data Ecosystem WG – Leuven, 30 March 2017
Session B: Planning the Data Ecosystem work
WWW.EROSA.AGINFRA.EU
eROSA in brief
e-ROSA: Mapping the Ecosystem and Community 2
Why an e-infrastructure roadmap for open science in agriculture?
No European or international research infrastructure in this field
established so far
Need to understand the needs for a future e-infrastructure
Need to develop a shared vision for data science and open science in
agricultural research
Need to integrate this future infrastructure in the existing e-infrastructure
landscape
e-ROSA objectives
 Community-building: researchers in agricultural sciences, data managers,
key players in EU and international initiatives, etc.
 Improve knowledge on current landscape: research infrastructures and e-
infrastructures, projects, policies,… relevant for an « e-infra for open
science in agriculture »
 Roadmap co-elaboration and advocacy
WWW.EROSA.AGINFRA.EU
Horizon 2020 research and innovation programme - grant agreement No 730988
European open science cloud (EOSC)
From Jean Claude Burgelman – DG RTD
WWW.EROSA.AGINFRA.EU
Horizon 2020 research and innovation programme - grant agreement No 730988
The European Cloud Initiative
▪ European Open Science Cloud
(EOSC)
▪ Integration and consolidation of e-
infrastructures
▪ Federation of existing research
infrastructures and scientific clouds
▪ Development of cloud-based
services for Open Science
▪ Connection of ESFRIs to the
EOSC
▪ European Data Infrastructure
(EDI)
▪ Development and deployment of
large-scale European HPC, data
and network infrastructure
4
Industry
Scientific
Users
Public Sector
European Open Science Cloud
European Data Infrastructure
Source: https://ec.europa.eu/digital-single-
market/en/%20european-cloud-initiative
WWW.EROSA.AGINFRA.EU
Overall approach
e-ROSA: Mapping the Ecosystem and Community 5
WP1: Ecosystem &
Community
WWW.EROSA.AGINFRA.EU
Overall objective
 Provide a detailed, comprehensive overview of the current
landscape related to data science in agriculture
 Identify main stakeholders and existing resources within the e-
ROSA scope that can support and benefit from the e-ROSA
community-building and roadmap elaboration process
What do we want to map?
1. Scientific community: research organisations, projects, initiatives
2. Data/e-infrastructure resources: data points, facilities, data
services
e-ROSA: Mapping the Ecosystem and
Community
6
Mapping under e-ROSA
WWW.EROSA.AGINFRA.EU
Mapping methodology
e-ROSA: Mapping the Ecosystem and Community 7
Initial scoping
Bibliometric analysis
Quantitative
approach
• Online map
• Open call
Qualitative
approach
• Roadmap analysis
• Desk reviews
Validation
Workshop with the e-ROSA
stakeholder community
WP1
Ecosystem &
Community
WP3
Roadmap
co-design &
uptake
WWW.EROSA.AGINFRA.EU
E-infrastructure :
https://docs.google.com/document/d/1MYZhRAelcdTu59YjE-
5ZTkgQzfDuihIULBTNw-FaMgo/edit?usp=sharing
Organisations: the organisations (e.g. research performing
organisations, ministries, international organisations) within the e-
ROSA scope; “data producers”, “data experts” , “data policy”
Initiatives: Projects, networks and other initiatives within the e-ROSA
scope
Data points: all forms of data sources directly or indirectly providing
access to data in the field of agriculture and food ; answers the
question “how to get data?”
Facilities: research infrastructures and e-infrastructures that provide
one or several types of data services (e.g. modeling infrastructures,
data management infrastructures, etc.); answers the question “what
can you do with data?”
8
Concepts and definitions
e-ROSA: Mapping the Ecosystem and Community
WWW.EROSA.AGINFRA.EU
http://www.aginfra.eu/discover
http://www.aginfra.eu
9
AgINFRA/e-ROSA online map
e-ROSA: Mapping the Ecosystem and Community
WWW.EROSA.AGINFRA.EU
The identification of scientists and
related collaboration networks
involved in data science for
agriculture
Identify specific domains related to
data and computer science that are
of interest to identified scientists
(i.e. working on agricultural issues).
Identify related conferences and
journals that the e-ROSA project can
target in order to effectively reach
out to the relevant communities
involved in data science issues
related to agriculture.
10
Bibliometric analysis
e-ROSA: Mapping the Ecosystem and Community
WWW.EROSA.AGINFRA.EUe-ROSA: Mapping the Ecosystem and Community 11
Most publishing countries
WWW.EROSA.AGINFRA.EU 12
Temporal evolution of key data-related
issues
e-ROSA: Mapping the Ecosystem and Community
WWW.EROSA.AGINFRA.EU 13e-ROSA: Mapping the Ecosystem and Community
WWW.EROSA.AGINFRA.EUPresentation Title 14
WWW.EROSA.AGINFRA.EU
CONSORTIUM
WWW.EROSA.AGINFRA.EU
15
Thank you for your attention!

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GODAN Data Ecosystem Working Group - The e-ROSA project

  • 1. WWW.EROSA.AGINFRA.EU e-ROSA has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988 e-ROSA: Towards an e-infrastructure Roadmap for Open Science in Agriculture Mapping the Ecosystem and Community GODAN Data Ecosystem WG – Leuven, 30 March 2017 Session B: Planning the Data Ecosystem work
  • 2. WWW.EROSA.AGINFRA.EU eROSA in brief e-ROSA: Mapping the Ecosystem and Community 2 Why an e-infrastructure roadmap for open science in agriculture? No European or international research infrastructure in this field established so far Need to understand the needs for a future e-infrastructure Need to develop a shared vision for data science and open science in agricultural research Need to integrate this future infrastructure in the existing e-infrastructure landscape e-ROSA objectives  Community-building: researchers in agricultural sciences, data managers, key players in EU and international initiatives, etc.  Improve knowledge on current landscape: research infrastructures and e- infrastructures, projects, policies,… relevant for an « e-infra for open science in agriculture »  Roadmap co-elaboration and advocacy
  • 3. WWW.EROSA.AGINFRA.EU Horizon 2020 research and innovation programme - grant agreement No 730988 European open science cloud (EOSC) From Jean Claude Burgelman – DG RTD
  • 4. WWW.EROSA.AGINFRA.EU Horizon 2020 research and innovation programme - grant agreement No 730988 The European Cloud Initiative ▪ European Open Science Cloud (EOSC) ▪ Integration and consolidation of e- infrastructures ▪ Federation of existing research infrastructures and scientific clouds ▪ Development of cloud-based services for Open Science ▪ Connection of ESFRIs to the EOSC ▪ European Data Infrastructure (EDI) ▪ Development and deployment of large-scale European HPC, data and network infrastructure 4 Industry Scientific Users Public Sector European Open Science Cloud European Data Infrastructure Source: https://ec.europa.eu/digital-single- market/en/%20european-cloud-initiative
  • 5. WWW.EROSA.AGINFRA.EU Overall approach e-ROSA: Mapping the Ecosystem and Community 5 WP1: Ecosystem & Community
  • 6. WWW.EROSA.AGINFRA.EU Overall objective  Provide a detailed, comprehensive overview of the current landscape related to data science in agriculture  Identify main stakeholders and existing resources within the e- ROSA scope that can support and benefit from the e-ROSA community-building and roadmap elaboration process What do we want to map? 1. Scientific community: research organisations, projects, initiatives 2. Data/e-infrastructure resources: data points, facilities, data services e-ROSA: Mapping the Ecosystem and Community 6 Mapping under e-ROSA
  • 7. WWW.EROSA.AGINFRA.EU Mapping methodology e-ROSA: Mapping the Ecosystem and Community 7 Initial scoping Bibliometric analysis Quantitative approach • Online map • Open call Qualitative approach • Roadmap analysis • Desk reviews Validation Workshop with the e-ROSA stakeholder community WP1 Ecosystem & Community WP3 Roadmap co-design & uptake
  • 8. WWW.EROSA.AGINFRA.EU E-infrastructure : https://docs.google.com/document/d/1MYZhRAelcdTu59YjE- 5ZTkgQzfDuihIULBTNw-FaMgo/edit?usp=sharing Organisations: the organisations (e.g. research performing organisations, ministries, international organisations) within the e- ROSA scope; “data producers”, “data experts” , “data policy” Initiatives: Projects, networks and other initiatives within the e-ROSA scope Data points: all forms of data sources directly or indirectly providing access to data in the field of agriculture and food ; answers the question “how to get data?” Facilities: research infrastructures and e-infrastructures that provide one or several types of data services (e.g. modeling infrastructures, data management infrastructures, etc.); answers the question “what can you do with data?” 8 Concepts and definitions e-ROSA: Mapping the Ecosystem and Community
  • 10. WWW.EROSA.AGINFRA.EU The identification of scientists and related collaboration networks involved in data science for agriculture Identify specific domains related to data and computer science that are of interest to identified scientists (i.e. working on agricultural issues). Identify related conferences and journals that the e-ROSA project can target in order to effectively reach out to the relevant communities involved in data science issues related to agriculture. 10 Bibliometric analysis e-ROSA: Mapping the Ecosystem and Community
  • 11. WWW.EROSA.AGINFRA.EUe-ROSA: Mapping the Ecosystem and Community 11 Most publishing countries
  • 12. WWW.EROSA.AGINFRA.EU 12 Temporal evolution of key data-related issues e-ROSA: Mapping the Ecosystem and Community
  • 13. WWW.EROSA.AGINFRA.EU 13e-ROSA: Mapping the Ecosystem and Community