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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
OSFair2017 | Athens, 6 September 2017
Madeleine Huber
French National Institute for Agricultural Research (INRA)
The Roadmap to better food: Using ICT and Open Data to overcome barriers
in the agriculture value chain
Towards an e-infrastructure for open
science in agri-food
WWW.EROSA.AGINFRA.EU
Open Science for agri-food?
Towards an e-infrastructure for open science in agri-food 2
Open
Science
Research
(e-)infrastructures
What about
agriculture
& food?
WWW.EROSA.AGINFRA.EU
The data opportunity in agri-food
Towards an e-infrastructure for open science in agri-food 3
Complex challenges to address
> Multidisplinary, multiscale research
> Integrated systems and models
Automation of data collection & new engineering tools
New data sources: IoT, citizen science, social media, etc.
VOLUME and VARIETY of data
+
COMPUTATIONAL
capabilities
+
OPEN data
mouvement
Challenge: Integrate numerous,
heterogeneous and dispersed data
WWW.EROSA.AGINFRA.EU
Why an e-infrastructure?
Towards an e-infrastructure for open science in agri-food 4
We need a common e-infrastructure to:
connect data and connect infrastructures
integrate existing initiatives into a common framework at a global level, facilitate
collaboration
share efforts and resources: provide shared services to integrate, explore and
analyse data
support a collective change of practices through the adoption of shared standards:
support the elaboration and use of FAIR data
provide a pre-competitive space for sharing data and speeding up innovation
processes
WWW.EROSA.AGINFRA.EU
e-ROSA in brief
Towards an e-infrastructure for open science in agri-food 5
Coordination and support action (infrasupp 3 2016)
18 months (01/2017 – 06/2018)
Consortium: INRA (FR), WUR Alterra (NL), Agroknow (GR)
Objective: elaborate a roadmap for an e-infrastructure for open science in agri-food
WWW.EROSA.AGINFRA.EU
e-ROSA approach
Towards an e-infrastructure for open science in agri-food 6
Stakeholder Workshops
① ② ③
WWW.EROSA.AGINFRA.EU
What we have done so far
Towards an e-infrastructure for open science in agri-food 7
Bibliometric analysis
> Initial scoping of the e-ROSA community
Online map
> Cataloguing key stakeholders, initiatives and
> Open call to come
First Stakeholder Workshop: 6-7 July 2017 in
Montpellier, France
> Initiate community-building and improve knowledge
http://www.erosa.aginfra.eu/sites/erosa_deliverables/D1.1.pdf
http://www.aginfra.eu/discover
http://www.erosa.aginfra.eu/node/47
WWW.EROSA.AGINFRA.EU
Current landscape: Our “Commons”
Towards an e-infrastructure for open science in agri-food 8
Iron and Wires
Interoperability
http://vest.agrisemantics.org
http://agroportal.lirmm.fr/
http://gacs/agrisemantics.org/
Shared semantics
Data, discovery servicesDKAN
Sustainable,
distributed
and trusted
storage &
management
CKAN
DataVerse
Call it
FAIR data
,
Virtual research environments
Data/Information Portals
Data access, publication,
analysis & visualisation
https://data.gov.in/sector/agriculture
BioLink
WWW.EROSA.AGINFRA.EU
Current landscape: Challenges
Towards an e-infrastructure for open science in agri-food 9
Technical challenges
Generic
Content-dependent
(agri-food)
Common interoperability
standards
Long-term preservation
Disruptive technologies
Semantics
Geolocalised data
Data discovery
Data processing
Cultural challenges
Community engagement and incentives
Policies and regulation
Sustainability and governance
WWW.EROSA.AGINFRA.EU
Towards the e-infrastructure
Towards an e-infrastructure for open science in agri-food 10
Key issues to address
E-infrastructure governance
Distributed organisation
Identification of needs and related services
E-infrastructure architecture
Easy access and use by researchers
Articulation between overarching e-infrastructure issues
and scientific data-related needs (use case approach:
technical and scientific)
Evaluation of the e-infrastructure
Embedding in the
general
e-infrastructure
landscape
WWW.EROSA.AGINFRA.EU
Towards the e-infrastructure
Towards an e-infrastructure for open science in agri-food 11
EU
Member
States +
RFOs
Global
partners
+++
https://www.open-science-conference.eu/wp-content/uploads/2016/02/Burgelman_2017-Science-2-Berlin-March-2017.pdf
http://www.erosa.aginfra.eu/node/47
WWW.EROSA.AGINFRA.EU
What’s next?
Towards an e-infrastructure for open science in agri-food 12
Elaborate roadmap
Prepare for WP 2018-2020
Link with EOSC
Open call to map stakeholders
Case studies and webinars on needs
Build the vision
EOSC
architecture
14-15 Sept.
RDA 10th
Plenary
17-21 Sept.
Linked Open
Data in Ag.
27-28 Sept.
e-ROSA’s 2nd
Stakeholder
Workshop
27-28 Nov.
WWW.EROSA.AGINFRA.EU
Discussion
Towards an e-infrastructure for open science in agri-food 13
Interaction between generic and domain-specific e-infrastructures
What services should be generic? How to ensure affordable and sustainable
access to data analytics and computation to researchers, regardless of their
disciplines or where they are located?
What are the specific service requirements for the Agri-food sciences?
WWW.EROSA.AGINFRA.EU
CONSORTIUM
WWW.EROSA.AGINFRA.EU
14
Thank you for your attention!

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Open Science Fair - 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 OSFair2017 | Athens, 6 September 2017 Madeleine Huber French National Institute for Agricultural Research (INRA) The Roadmap to better food: Using ICT and Open Data to overcome barriers in the agriculture value chain Towards an e-infrastructure for open science in agri-food
  • 2. WWW.EROSA.AGINFRA.EU Open Science for agri-food? Towards an e-infrastructure for open science in agri-food 2 Open Science Research (e-)infrastructures What about agriculture & food?
  • 3. WWW.EROSA.AGINFRA.EU The data opportunity in agri-food Towards an e-infrastructure for open science in agri-food 3 Complex challenges to address > Multidisplinary, multiscale research > Integrated systems and models Automation of data collection & new engineering tools New data sources: IoT, citizen science, social media, etc. VOLUME and VARIETY of data + COMPUTATIONAL capabilities + OPEN data mouvement Challenge: Integrate numerous, heterogeneous and dispersed data
  • 4. WWW.EROSA.AGINFRA.EU Why an e-infrastructure? Towards an e-infrastructure for open science in agri-food 4 We need a common e-infrastructure to: connect data and connect infrastructures integrate existing initiatives into a common framework at a global level, facilitate collaboration share efforts and resources: provide shared services to integrate, explore and analyse data support a collective change of practices through the adoption of shared standards: support the elaboration and use of FAIR data provide a pre-competitive space for sharing data and speeding up innovation processes
  • 5. WWW.EROSA.AGINFRA.EU e-ROSA in brief Towards an e-infrastructure for open science in agri-food 5 Coordination and support action (infrasupp 3 2016) 18 months (01/2017 – 06/2018) Consortium: INRA (FR), WUR Alterra (NL), Agroknow (GR) Objective: elaborate a roadmap for an e-infrastructure for open science in agri-food
  • 6. WWW.EROSA.AGINFRA.EU e-ROSA approach Towards an e-infrastructure for open science in agri-food 6 Stakeholder Workshops ① ② ③
  • 7. WWW.EROSA.AGINFRA.EU What we have done so far Towards an e-infrastructure for open science in agri-food 7 Bibliometric analysis > Initial scoping of the e-ROSA community Online map > Cataloguing key stakeholders, initiatives and > Open call to come First Stakeholder Workshop: 6-7 July 2017 in Montpellier, France > Initiate community-building and improve knowledge http://www.erosa.aginfra.eu/sites/erosa_deliverables/D1.1.pdf http://www.aginfra.eu/discover http://www.erosa.aginfra.eu/node/47
  • 8. WWW.EROSA.AGINFRA.EU Current landscape: Our “Commons” Towards an e-infrastructure for open science in agri-food 8 Iron and Wires Interoperability http://vest.agrisemantics.org http://agroportal.lirmm.fr/ http://gacs/agrisemantics.org/ Shared semantics Data, discovery servicesDKAN Sustainable, distributed and trusted storage & management CKAN DataVerse Call it FAIR data , Virtual research environments Data/Information Portals Data access, publication, analysis & visualisation https://data.gov.in/sector/agriculture BioLink
  • 9. WWW.EROSA.AGINFRA.EU Current landscape: Challenges Towards an e-infrastructure for open science in agri-food 9 Technical challenges Generic Content-dependent (agri-food) Common interoperability standards Long-term preservation Disruptive technologies Semantics Geolocalised data Data discovery Data processing Cultural challenges Community engagement and incentives Policies and regulation Sustainability and governance
  • 10. WWW.EROSA.AGINFRA.EU Towards the e-infrastructure Towards an e-infrastructure for open science in agri-food 10 Key issues to address E-infrastructure governance Distributed organisation Identification of needs and related services E-infrastructure architecture Easy access and use by researchers Articulation between overarching e-infrastructure issues and scientific data-related needs (use case approach: technical and scientific) Evaluation of the e-infrastructure Embedding in the general e-infrastructure landscape
  • 11. WWW.EROSA.AGINFRA.EU Towards the e-infrastructure Towards an e-infrastructure for open science in agri-food 11 EU Member States + RFOs Global partners +++ https://www.open-science-conference.eu/wp-content/uploads/2016/02/Burgelman_2017-Science-2-Berlin-March-2017.pdf http://www.erosa.aginfra.eu/node/47
  • 12. WWW.EROSA.AGINFRA.EU What’s next? Towards an e-infrastructure for open science in agri-food 12 Elaborate roadmap Prepare for WP 2018-2020 Link with EOSC Open call to map stakeholders Case studies and webinars on needs Build the vision EOSC architecture 14-15 Sept. RDA 10th Plenary 17-21 Sept. Linked Open Data in Ag. 27-28 Sept. e-ROSA’s 2nd Stakeholder Workshop 27-28 Nov.
  • 13. WWW.EROSA.AGINFRA.EU Discussion Towards an e-infrastructure for open science in agri-food 13 Interaction between generic and domain-specific e-infrastructures What services should be generic? How to ensure affordable and sustainable access to data analytics and computation to researchers, regardless of their disciplines or where they are located? What are the specific service requirements for the Agri-food sciences?