CAS Chengdu November 2017

1. Towards an Infrastructure for FAIR data in
Agriculture and Nutrition
Chengdu, 2017-11-09Johannes Keizer, GODAN Secretariat

2. • GODAN Secretariat
• Before: Team Leader at FAO for
open Access and open Science
• Background: Research,
Pesticide Chemistry
Johannes Keizer, PhDTHE PRESENTER
Johannes.keizer@godan.info

3. Daunting challenges - impressive opportunities:
• The life science revolution is changing
our understanding of the fundamental
biology of plants, animals and people. It
is transforming agriculture.
• Information revolution approaches are
critically transforming the retail end of
food value chains- radical transparency.

4. “… research suggests that seven sectors alone could
generate more than $3 trillion a year in additional value
as a result of open data, which is already giving rise to
hundreds of entrepreneurial businesses and helping
established companies to segment markets …”
Source: McKinsey Global Institute
"Making these data public will allow people to
make their own assessments of the progress of
our Good Growth Plan. It is also blurring the
traditional roles of business, government and
NGOs by highlighting our collective
responsibility to address acute global
challenges. Above all, the data will be of value
to farmers, enabling them to increase
productivity sustainably and to enhance their
livelihoods."
"Open data has the power to solve our most
challenging sustainability problems. … Agri-
tech businesses have a big role to play in
finding novel solutions to these problems. …
Syngenta is taking a step that puts them at
the forefront of the open data movement in
their sector. We look forward to working with
them to unlock benefits for farmers and
consumers worldwide."
Mike Mack, CEO of Syngenta
(2015, for 1st GGP data release)
Jeni Tennison, Deputy CEO and CTO of
the Open Data Institute
There is Hype

6. Digital recombination

7. Data against death
• Discovering patterns of gene
expression during aging
• Craig Venter and others sift
through genomic data on a vast
scale
• Matching genetic expression
with physiologica patterns

8. EXAMPLE
VITICULTURE
AGRICULTURAL Technology
Courtesy prof. Scienza, Universita’ di Milano

16. Taste
profiles
from two
different
soils

18. Development of Genetic Research
Relation between Phenotypes and
Physiology and Genetics through Data
Analysis
Monitoring in the field the results of
breed modifications

20. AN INFRASTRUCTURE
FOR BIG DATA

21. Paradigm Shift for research
• In the past
– 80% data production, 20% data
evaluatio
• In the future
– 20% data production, 80% data
evaluation

22. Communities of Practice
Technical Standards
Shared Semantic
Business Models
Research Facilities
Connectivity
Computing Power
Quite a Lot! And to see in
Detail
Region-Country-City
Laws and
Regulations/
Taxes/Fees
Streets/Railways/Elec
tricity/Water
Factories/ Transport
/Shops/Services
Set of Services
Technical
Backbone
Governance
Business Model
Community
Infrastructure

23. How can we integrate various data?
Our proposal is …
Tomokazu Yoshida

24. 24
Conceptual sketch of “CLOP” in 2013APAN44th in Dalian

25. Structure of API mashup : 4 Layers
Term, Code Layer
Data Content
Layer
Data Format
(Container)
Layer
API
Layer
agroXML, Sensor ML, GML/KML, GPX, …
FarmXML(FIX-pms), BIX-pp, GPXX, …
Data structure?
Data meaning?
Data relation?
V
V
V
RDF, UML, …
SOS, WMTS, WMS, WFS,
…
MetXML, PDS, …
Content list in certain region of interest among
certain stakeholders, …
Terminology, ontology, …
Code system definition, …(Language / Localization)

26. APAN 44, Dalian August 2017
EXAMPLES FROM EUROPE
Iron and Wires
Data interoperability
http://vest.agrisemantics.org
http://agroportal.lirmm.fr/
http://gacs/agrisemantics.org/
Common
s!
Shared semantics
Data, discovery services
DCAN
Sustainable
and trusted
storage
CCAN
DataVerse
Call it
FAIR data
,
Virtual research environments
Data/Information Portals
Data publication, acess,
processing and analysis
https://data.gov.in/sector/agricultur
e
BioLink
Galaxy

27. A complementary bottom-up approach: Information from commercial fields - Taking advantage of modern information technologies !!!
Climate Soil Crop
management Productivity
/Quality
Site-specific
information
 Yield and quality
limiting factors
 favorable/unfavorable
Climatic patterns
 Optimal site-specific
management practices
Massively exciting, transformational science
“The most magical aspect of big data is Smart Data: the
application of statistical analytics and machine learning to
data sets to find interesting connections and signals in all
the noise.” ”. Philip Brittan. http://tmsnrt.rs/1EmFXTT
Courtesy Andy Jarvis, CGIAR

28. WHAT DOES OPEN
DATA MEAN?

29. THE FAIR PRINCIPLE
resources need to be
Findable
Accessible
Interoperable
Reusable
= FAIR
FAIR principle by Barend Mons, EC, EOSC

30. The 6 levels of “FAIRness”

31. GODAN addresses Issues through
working groups
• i.e. data rights and responsibilities
• i.e. data infrastructure
• i.e. better technical, semantic and
legal interoperability
• i.e data gaps in nutrition

33. We want more Chinese
Partners

34. Also in China GODAN
is growing
But we want more
partners, you!

35. Join GODAN!
● Sign up means you agree to our principles
in our Statement of Purpose
http://www.godan.info/about/statement-of-
purpose/
● Easy to complete forms online
http://www.godan.info/partners/become-a-
godan-partner/
● Talk to us about how you can get involved in
our events, publications and working groups

36. www.godan.info