1. RDA WG on-farm data sharing IGAD / 04-04-2017 Barcelona

2. On Farm Data Sharing WG

3. Farmers have the capability as they have never had before to critically evaluate management practices using field-scale replicated strip trials. Farmers have gained this powerful capability because yield monitors on combines enable accurate measurement of yields. Networks of farmers have become increasingly common to exploit the potential of yield monitors to evaluate management practices at the field level. Networks of farmers have also become increasingly common because farmers understand the power of evaluating management practices across many fields. Collection of results from strip trials across many fields requires protocols for data stewardship, that is, for data reporting, sharing and archiving. All farmer networks have developed data stewardship protocols.
The protocols, however, vary from network to network, and the protocols are not easily accessible to people outside the networks. Creation of a standardized set of protocols for data stewardship that are publicly available would promote the formation of new farmer networks.
More importantly, the creation of standardized protocols, especially for confidentiality and sharing of data, would enable the combining of results from many networks into one secure database. A combined database would facilitate analyses across space and time that would provide much more useful and robust answers to many applied questions about crop production practices, which would increase profitability and decrease environmental pollution caused by food production.

5. Cultural
Education
FARMER
DATA
Technological
Science
Research

6. FARMERS: SMALL & AGRIBUSINESS
Cultural
Education
FARMERS: SMALL & AGRIBUSINESS
DATA
Telephone /Smartphone
Sensors on Agric equipment
Provider and user of information
Technological
Science
Research

7. Cultural
Education
Life cycle: Data quality, Data infrastructure,
formats, standards & protocols
Archives, Access, FAIR
Availability & Provenance, Stewardship
FARMER
1/ DATA On farm
& Contextual (climate..)
Technological
Big-data sharing / data privacy,
Property rights
Law, confidentiality
governance
Science
Research

8. Cultural
Education
Policy makers
Data for Guidance:
Policy Decision & planning
Coordination
Evidence- based approaches of
Land use, Smart agriculture
FARMER
DATA
Technological
Science
Research

9. Capacity Building on digital ..
1/ farmers
2/ advisory services
2/ Cultural
Networks & Collective action
Data empowers Farmer’s associations/Coop
Advisors/Researchers/Extension… through
2/ Education
New services models development and acceptance (benefit of data sharing !!)
Thanks to new knowledge, decision making systems IT +AI
For Improved & sustainable farm and resources management / practices
FARMER
DATA
Technological
Science
Research

10. Cultural
Education
FARMER
3/ Technological
DATA
Heterogeneity of
On farm data
interoperability
Data science and analytics , Open Access
[Scientific Disciplines (topics) + ICT (devices, systems..)] collaborative science
On Concrete Topics & Themes (SDG), use case ?:
sustainability, yield monitoring
Food security & nutrition, Biodiversity, Inclusive value chains,
Food Processing, Natural resource management, Waste, ecosystem services
3/ Science
Research

11. Recommandation for
the WG
Recommandation
Should we rather envisage « Trusted distributed IS / data sharing model » ? (rather than a Centralised model), => strong interoperability + integration
Interlinkage
with other groups
Actors
Barriers & Challenges
to be considered
ACTORS important to involve:
Development practitioners
R&D Org
NGO’s
Governments
Private sector (IT techno, agric. Equipt or Service providers
Statisticians Modelers (quantitative methods professions),
international organizations
Policy makers …
Digital Divide
Data Policy
Knowledge skills
Generational issues
Cultural barriers (gender, equity..)
SHIFT to more Data-Driven activities
Resources
Scales , Scopes

12. Thank You