2nd e-ROSA Stakeholder workshop: Hologne, E-ROSA process
1. e-ROSA has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No
730988
e-ROSA 2nd Stakeholder Workshop | Wageningen, 27 November 2017
The e-ROSA process
e-infrastructure roadmap for open science in agriculture
Odile Hologne, INRA, Head of the Department of Scientific Information
e-ROSA coordinator
3. 3
eROSA in brief
Coordination and support action (infrasupp 3 2016)
18 months
Started in January 2017
Consortium: INRA (FR), WUR Alterra (NL), Agroknow (GR)
« Brother » project: AgINFRA+ : prototype new services
Support small-size foresight roadmaps for research and education communities and
operators of e-infrastructure services.
Identification of potential collaboration from stakeholders across different
geographic areas and scientific domains.
4. 4
Objectives
Community building: researchers in agri-food sciences and ICT
specialists; international
Improve the knowledge of the landscape: infra/e-infra, projects, policies
… relevant for an « e-infra for open science in agriculture »
Roadmap: conception, advocacy
5. 5
The need for a roadmap
A puzzle of different component
Need to build a shared vision
No real research infrastructure in agri-food (ESFRI in
environment, genomics, earth observation …)
6. 6
Open Science and Agri-food
https://ec.europa.eu/digital-agenda/en/open-science
- From small data to big and smart data
- Open research data for re-use
- Data sharing for scientific purpose
- Research transparency (sensitive topics)
- Knowledge access for the developping
countries
- Involve farmers, students or teachers in
scientific processes : citizen science for
agriculture
- Strong link with the societal challenges
- Data driven agricultural sciences
- Multidisciplinary and multiscale approaches
- Data science for policy making
8. 8
What we have done so far
Bibliometric analysis
> Initial scoping of the e-ROSA community
> Updating in progress
Online map
> Cataloguing key stakeholders, initiatives and infrastructures
> Ongoing open call: YOUR INPUT IS NEEDED!
First Stakeholder Workshop: 6-7 July 2017 in Montpellier, France
> Initiate community-building and improve knowledge of the current
http://www.erosa.aginfra.eu/sites/erosa_deliverables/D1.1.pdf
http://www.aginfra.eu/discover
http://www.erosa.aginfra.eu/node/47
10. 10
Data flows
The agri-food sector is dealing with an increasing amount and variety of data due to:
• The multidisciplinary, multiscale nature of agri-food science, which is adopting a more and more systemic
approach;
• The automation of data collection thanks to robots, sensors, etc., as well as new engineering tools such as in the
omics field;
• The development of new types of data sources: e.g. Internet of Things, citizen science, text-mining
11. 11
Data sharing: beyond the technical issues
Societal priorities imply the maximum of transparency
and access to data;
Business interests can support differing objectives
Personal privacy concerns
I want to
protect my
« know
how »I want to
know where
it comes
from
I want to
understand
….
12. 12
E-infrastructure as an opportunity to support
agri-food sector and sciences
Improve & federate existing structures (standards, interoperability, governance,
financing) based on user needs
Incentives for data sharing in science & training
13. 13
Current landscape: Challenges
Technical challenges
Generic
Content-dependent
(agri-food)
Long-term preservation
Data processing
Authentication and access rights
traceability
……
Semantics - standards
From genes to ecosytem
Public and private stakeholders
Registry of services
….
Cultural challenges
Community engagement and incentives
Policies and regulation
Sustainability and governance
14. 14
Some of the gems
Data repositories +/- open
Data catalog : http://ring.ciard.net/
Resources catalog: semantics, metadata
http://vest.agrisemantics.org
http://agroportal.lirmm.fr/
http://agrisemantics.org/
15. 15
Towards the e-infrastructure
Key issues to address
E-infrastructure governance
Distributed organisation
Identification of needs and related services, Easy access and
use by researchers
E-infrastructure architecture and Articulation between
overarching e-infrastructure issues and scientific data-related
needs (use case approach: technical and scientific)