Scaling up (and doing business
with) food safety information
transparency
Nikos Manouselis, CEO Agroknow
nikosm@agroknow.com
intro
We find, connect and deliver agriculture and
food information worldwide
what we do
• We Lead: the development of a global, open,
shared data infrastructure for agriculture and
food
• We Support: public sector and international
organisations to make their information
discoverable and usable
• We Make: innovative online applications and
services
indicative partners & clients
• Food and Agriculture Organization (FAO)
• Global Forum on Agricultural Research (GFAR)
• International Fund for Agricultural Development (IFAD)
• CABI
• UK’s Dept for International Development (DFID)
• World Bank
• Michigan State University (MSU)
• Wageningen University & Research (WUR)
• French Institute of Agricultural Research (INRA)
• International Centre for Research in Organic Food
Systems (ICROFS)
open data advocates & business
• CIARD.net: a global movement dedicated to open
agricultural knowledge
• Global Open Data for Agriculture and Nutrition
(GODAN): make agricultural and nutritionally relevant
data available, accessible, and usable for unrestricted
use worldwide
• Open Data Institute member (UK HQs & Athens node)
large scale data-related projects
• agINFRA: a data infrastructure to support agricultural scientific
communities (2011 - 2015)
– 12 partners (incl. FAO, OU); tech coordinator, evaluation, sustainability
– in G8 Open Data in Agriculture Action Plan for Europe
• SemaGrow: Data intensive techniques to boost the real-time
performance of global agricultural data infrastructures (2012 - 2015)
– 8 partners (incl. FAO, WUR); tech, evaluation, sustainability
– in G8 Open Data in Agriculture Action Plan for Europe
• OpenMinTeD: Open Mining INfrastructure for TExt and Data (2015-
2018)
– 15 partners (incl. UoA, EBI, INRA); tech+data, requirements & evaluation
• Big Data Europe: Integrating Big Data, Software and Communities for
Addressing Europe’s Societal Challenges (2015-2018)
– 12 partners (incl. FAO); agri-food community & use cases
We lead
• a data management & sharing infrastructure for agriculture & food
a) a global atlas of agricultural research (including institutions,
people, publications, data sets, projects, courses, instruments,
tools)
b) a semantic layer of processing, enriching & interlinking research
information from distributed, heterogeneous sources & formats
c) a catalogue of software components (open source software
stack & APIs) that anyone may use to process research
information
d) a help desk service to support institutions & projects that wish
to publish their research information openly
e) a set of data-rich service and application demonstrators for
specific case studies (food safety, viticulture, …)
a global agri-food information atlas
registry of data sources/sets
published & linked vocabularies
open stack of software for big data
analytics & text/data mining
complex data processing workflows
Metadata
harvester
Filtering
component
Stores
File system
(DC, IEEE
LOM, MODS
XML)
File system
(DC, IEEE
LOM, MODS
XML)
Stores
Identification and
de-duplication
component
MySQL
Dupli
cates
Stores
Transformation
component
( to AKIF)
Store
metadata in
JSON (Internal
Format)
Link checking
component
PostProcessing/
Enrichment
component
File
system
(XMLs)
Get unique ID
Records
with
Broken
Links
Indexing mechanism
API
enabler of communities
– supporting very active global data-related communities
of practice from around the world
a) advocacy & decision making stakeholders (CIARD, GODAN)
b) agricultural data/knowledge managers (FAO’s AIMS, RDA
IGAD, ODI)
c) agri-tech software developers & companies (OADA, FIWARE)
scaling up food safety data sharing
enable enhanced semantics
extract structured data from text
link to food recall data
produce meaningful visualisations
support data customisation & filtering
share in multiple formats
doing business with open food data
“new businesses and new
business models are beginning
to emerge: Suppliers,
aggregators, developers,
enrichers and enablers”
“key link in the value chain for
open data is the
consumer…direct relevance to
the choices individuals make as
part of their day-to-day lives”
from challenges to businesses
Challenges
Contests &
competitions
Ideas for new
apps &
businesses
Proven
solutions &
business
models
calls for ideas on
how to address
through…
inviting the
development
of new…
Using open data &
platform APIs
exposing, piloting &
co-developing
solutions via
testing…
Identification &
mapping of…
showcasing, convincing &
inviting more
communities to …
is data plug and play?
• No!
– requires a deep understanding of the data
– requires excellent data processing & analysis skills
– requires very good technical skills
• will evolve into a data-powered value chain
– the companies that develop innovative food
products need…
– …companies that build apps on food data who
need…
– …companies that process agro data
a good example
Agro/food industry
Food data providers
(FERA, DEFRA, DFID,
RASSF, FAO etc)
Agro/food research &
academia
Food software IT
companies
Food data
scientists
Data science
community
30
Tech/IT
industry &
start ups
Food data
aggregators
an ecosystem that could look like this
join the big data wave
www.big-data-europe.eu
Thank you!
Nikos Manouselis
nikosm@agroknow.com
www.agroknow.com

Scaling up food safety information transparency

  • 1.
    Scaling up (anddoing business with) food safety information transparency Nikos Manouselis, CEO Agroknow nikosm@agroknow.com
  • 2.
  • 3.
    We find, connectand deliver agriculture and food information worldwide
  • 4.
    what we do •We Lead: the development of a global, open, shared data infrastructure for agriculture and food • We Support: public sector and international organisations to make their information discoverable and usable • We Make: innovative online applications and services
  • 5.
    indicative partners &clients • Food and Agriculture Organization (FAO) • Global Forum on Agricultural Research (GFAR) • International Fund for Agricultural Development (IFAD) • CABI • UK’s Dept for International Development (DFID) • World Bank • Michigan State University (MSU) • Wageningen University & Research (WUR) • French Institute of Agricultural Research (INRA) • International Centre for Research in Organic Food Systems (ICROFS)
  • 6.
    open data advocates& business • CIARD.net: a global movement dedicated to open agricultural knowledge • Global Open Data for Agriculture and Nutrition (GODAN): make agricultural and nutritionally relevant data available, accessible, and usable for unrestricted use worldwide • Open Data Institute member (UK HQs & Athens node)
  • 7.
    large scale data-relatedprojects • agINFRA: a data infrastructure to support agricultural scientific communities (2011 - 2015) – 12 partners (incl. FAO, OU); tech coordinator, evaluation, sustainability – in G8 Open Data in Agriculture Action Plan for Europe • SemaGrow: Data intensive techniques to boost the real-time performance of global agricultural data infrastructures (2012 - 2015) – 8 partners (incl. FAO, WUR); tech, evaluation, sustainability – in G8 Open Data in Agriculture Action Plan for Europe • OpenMinTeD: Open Mining INfrastructure for TExt and Data (2015- 2018) – 15 partners (incl. UoA, EBI, INRA); tech+data, requirements & evaluation • Big Data Europe: Integrating Big Data, Software and Communities for Addressing Europe’s Societal Challenges (2015-2018) – 12 partners (incl. FAO); agri-food community & use cases
  • 8.
    We lead • adata management & sharing infrastructure for agriculture & food a) a global atlas of agricultural research (including institutions, people, publications, data sets, projects, courses, instruments, tools) b) a semantic layer of processing, enriching & interlinking research information from distributed, heterogeneous sources & formats c) a catalogue of software components (open source software stack & APIs) that anyone may use to process research information d) a help desk service to support institutions & projects that wish to publish their research information openly e) a set of data-rich service and application demonstrators for specific case studies (food safety, viticulture, …)
  • 9.
    a global agri-foodinformation atlas
  • 10.
    registry of datasources/sets
  • 11.
    published & linkedvocabularies
  • 12.
    open stack ofsoftware for big data analytics & text/data mining
  • 13.
    complex data processingworkflows Metadata harvester Filtering component Stores File system (DC, IEEE LOM, MODS XML) File system (DC, IEEE LOM, MODS XML) Stores Identification and de-duplication component MySQL Dupli cates Stores Transformation component ( to AKIF) Store metadata in JSON (Internal Format) Link checking component PostProcessing/ Enrichment component File system (XMLs) Get unique ID Records with Broken Links Indexing mechanism API
  • 14.
    enabler of communities –supporting very active global data-related communities of practice from around the world a) advocacy & decision making stakeholders (CIARD, GODAN) b) agricultural data/knowledge managers (FAO’s AIMS, RDA IGAD, ODI) c) agri-tech software developers & companies (OADA, FIWARE)
  • 15.
    scaling up foodsafety data sharing
  • 16.
  • 17.
  • 18.
    link to foodrecall data
  • 19.
  • 20.
  • 21.
  • 22.
    doing business withopen food data “new businesses and new business models are beginning to emerge: Suppliers, aggregators, developers, enrichers and enablers” “key link in the value chain for open data is the consumer…direct relevance to the choices individuals make as part of their day-to-day lives”
  • 26.
    from challenges tobusinesses Challenges Contests & competitions Ideas for new apps & businesses Proven solutions & business models calls for ideas on how to address through… inviting the development of new… Using open data & platform APIs exposing, piloting & co-developing solutions via testing… Identification & mapping of… showcasing, convincing & inviting more communities to …
  • 27.
    is data plugand play? • No! – requires a deep understanding of the data – requires excellent data processing & analysis skills – requires very good technical skills • will evolve into a data-powered value chain – the companies that develop innovative food products need… – …companies that build apps on food data who need… – …companies that process agro data
  • 28.
  • 30.
    Agro/food industry Food dataproviders (FERA, DEFRA, DFID, RASSF, FAO etc) Agro/food research & academia Food software IT companies Food data scientists Data science community 30 Tech/IT industry & start ups Food data aggregators an ecosystem that could look like this
  • 31.
    join the bigdata wave www.big-data-europe.eu
  • 32.