Richard Finkers (Wageningen UR) presented at the 2nd International Workshop: Creating Impact with Open Data in Agriculture and Nutrition in The Hague, 11 September 2015.

1. Creating impact with Accessible Data in
Agriculture and Nutrition
Sharing data pre-competitive in Public Private Partnerships
11 November 2015, Richard Finkers (@rfinkers)
Wageningen UR Plant Breeding

2. Resources For Breeding
2

3. FAIR data Principles
The FAIR Data initiative aims to support existing communities
in their attempts to enable valuable scientific data and
knowledge to be published and utilized in a ‘FAIR’ manner.
•
Findable - (meta)data is uniquely and persistently identifiable.
Should have basic machine readable descriptive metadata.
•
Accessible - data is reachable and accessible by humans and
machines using standard formats and protocols.
•
Interoperable - (meta)data is machine readable and annotated
with resolvable vocabularies/ontologies.
•
Reusable - (meta)data is sufficiently well-described to allow
(semi)automated integration with other compatible data sources.

4. Sharing Pre-Competitive data

5. Sharing Pre Competitive data and
Analytics, for example:
 Developed controlled vocabularies can be easily
shared, however not the ontology.
 Required analytics can be developed pre-competitive
and shared easily, strength is in the germplasm and
innovative approaches for interpretation of the outcome
of these algorithms.
 Discovery for Knowledge is pre-competitive, the
discovered knowledge is competitive

6. Questions?
Acknowledgements:
Theo van Hinthum & Frank
Menting (Centre Genetic
Resources, NL)
Denis Guryunov & Martijn
van Kaauwen
et. all.