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how	
  open	
  data	
  and	
  knowledge	
  sharing	
  can	
  
facilitate	
  regional	
  growth:	
  the	
  case	
  of	
  
agricultural	
  sector	
  
Giannis	
  Stoitsis,	
  COO	
  at	
  Agro-­‐Know	
  
www.agroknow.gr	
  
WIRE	
  2014	
  conference	
  	
  
AGRO-­‐KNOW:	
  WHY,	
  HOW	
  AND	
  
WHAT	
  WE	
  ARE	
  DOING	
  
An	
  company	
  that	
  captures,	
  organizes	
  and	
  adds	
  value	
  
to	
  the	
  rich	
  informaJon	
  available	
  in	
  agricultural	
  
domain,	
  in	
  order	
  to	
  make	
  it	
  universally	
  accessible,	
  
useful	
  and	
  meaningful.	
  
http://www.agroknow.gr
Unorganized	
  Content	
  in	
  
local	
  and	
  remote	
  sites	
  
Widgets	
  
Authoring	
  services	
  
Data	
  Discovery	
  Services	
  
AnalyGcs	
  services	
  
Agricultural	
  Data	
  PlaIorm	
  
	
  
	
  
IngesGon	
   TranslaGon	
   PublicaGon	
  
Harvesting BlossomCultivation
Organized	
  and	
  structured	
  
Content	
  in	
  local	
  and	
  remote	
  
DBs	
  
EducaGonal	
  
Bibliographic	
  
Other	
  
Enrichment	
  
Aggregate
data from
diverse
sources
Works with
different type
of data
Prepare data
for
meaningful
services
EducaGonal	
  
Bibliographic	
  
knowledge	
  aggregaJon	
  &	
  sharing	
  soluJons	
  
open	
  data	
  relevant	
  acJviJes	
  
•  ParJcipaJon	
  in	
  the	
  data	
  interoperability	
  groups	
  of	
  the	
  
Research	
  Data	
  Alliance	
  
–  wheat	
  
–  germplasm	
  
•  ParJcipaJon	
  in	
  Global	
  Open	
  Data	
  for	
  Agriculture	
  and	
  
NutriJon	
  (hQp://godan.info/)	
  
•  EU	
  projects	
  for	
  the	
  generaJon	
  of	
  a	
  linked	
  agricultural	
  
data	
  infrastructure	
  
–  agINFRA.eu	
  
–  SemaGrow.eu	
  
–  in	
  G8	
  Open	
  Data	
  in	
  Agriculture	
  AcJon	
  	
  
Plan	
  for	
  Europe	
  
OPEN	
  DATA	
  IN	
  AGRO-­‐FOOD	
  
SECTOR	
  	
  
7	
  
Key	
  facts	
  about	
  agricultural	
  trends	
  
Agriculture	
  is	
  about	
  to	
  experience	
  a	
  “growth	
  shock”	
  in	
  order	
  to	
  cover	
  
the	
  exponenGally	
  increasing	
  food	
  needs	
  of	
  the	
  global	
  populaGon	
  
•  All	
  demographic	
  and	
  food	
  demand	
  projecGons	
  suggest	
  that,	
  by	
  
2050,	
  the	
  planet	
  will	
  face	
  severe	
  food	
  crises	
  due	
  to	
  our	
  inability	
  
to	
  meet	
  agricultural	
  demand	
  –	
  by	
  2050:	
  
•  9.3	
  billion	
  global	
  populaGon,	
  34%	
  higher	
  than	
  today	
  
•  70%	
  of	
  the	
  world’s	
  populaGon	
  will	
  be	
  urban,	
  compared	
  
to	
  49%	
  today	
  
•  food	
  producJon	
  (net	
  of	
  food	
  used	
  for	
  biofuels)	
  must	
  
increase	
  by	
  70%	
  
	
  
•  According	
  to	
  these	
  projecJons,	
  and	
  in	
  order	
  to	
  achieve	
  the	
  
forecasted	
  food	
  levels	
  by	
  2050,	
  a	
  total	
  investment	
  of	
  USD	
  83	
  
billion	
  per	
  annum	
  will	
  be	
  required	
  
	
  
•  A	
  large	
  part	
  of	
  this	
  investment	
  will	
  need	
  to	
  be	
  focused	
  on	
  R&D	
  	
  
8	
  
Open	
  Data	
  in	
  Agriculture	
  
One	
  of	
  the	
  most	
  promising	
  routes	
  to	
  agriculture	
  modernisaGon	
  
is	
  the	
  provision	
  of	
  Open	
  Data	
  to	
  all	
  interested	
  parGes	
  
•  In	
  an	
  era	
  of	
  Big	
  Data,	
  one	
  of	
  the	
  most	
  promising	
  routes	
  to	
  achieve	
  
R&D	
  excellence	
  in	
  agriculture	
  is	
  Open	
  Data,	
  and	
  in	
  parJcular:	
  
–  provisioning,	
  	
  
–  maintaining,	
  
–  enriching	
  with	
  relevant	
  metadata	
  and	
  
–  making	
  openly	
  available	
  	
  a	
  vast	
  amount	
  of	
  open	
  agricultural	
  
data	
  
•  The	
  use	
  and	
  wide	
  disseminaGon	
  of	
  these	
  data	
  sets	
  is	
  strongly	
  
advocated	
  by	
  a	
  number	
  of	
  global	
  and	
  naJonal	
  policy	
  makers	
  such	
  
as:	
  
–  The	
  New	
  Alliance	
  for	
  Food	
  Security	
  and	
  NutriJon	
  G-­‐8	
  
iniJaJve	
  
–  FAO	
  of	
  the	
  UN	
  
–  DEFRA	
  &	
  DFID	
  in	
  UK	
  
–  USDA	
  &	
  USAID	
  in	
  the	
  US	
  
Facilitating regional growth through they use of open agricultural data
Data	
  sources	
  
Facilitating regional growth through they use of open agricultural data
Data	
  sources	
  
Facilitating regional growth through they use of open agricultural data
open	
  data	
  is	
  not	
  always	
  ready	
  to	
  be	
  
used….	
  
•  Messy	
  data	
  
•  Should	
  be	
  collected/fused	
  
•  Should	
  be	
  filtered	
  
•  Should	
  be	
  validated	
  
•  Should	
  be	
  enriched	
  with	
  metadata	
  to	
  become	
  
discoverable	
  
•  Should	
  be	
  standardized	
  to	
  allow	
  interoperability	
  	
  
opportuniJes	
  for	
  data	
  oriented	
  SMEs	
  
1.  Help	
  organizaJons	
  to	
  open	
  their	
  data	
  
–  consulJng	
  services	
  
–  open	
  source	
  sodware	
  as	
  a	
  service	
  
2.  Develop	
  meaningful	
  services	
  using	
  open	
  data	
  
–  data	
  processing	
  to	
  improve	
  quality	
  
–  end	
  users	
  apps	
  
USING	
  OPEN	
  DATA	
  AND	
  KNOWLEDGE	
  
SHARING	
  IN	
  AGRO-­‐FOOD	
  SECTOR	
  
using	
  open	
  data	
  to	
  build	
  an	
  open	
  and	
  
scalable	
  infrastructure	
  for	
  food	
  safety	
  
using	
  open	
  data	
  to	
  support	
  decision	
  making	
  for	
  
regional	
  growth	
  
browse	
  agricultural	
  
resources	
  and	
  acGviGes	
  by	
  
geographical	
  region	
  to	
  
understand	
  opportuniGes	
  for	
  
grows	
  at	
  regional	
  level	
  	
  
using	
  open	
  educaJonal	
  data	
  to	
  support	
  
training	
  on	
  organic	
  agricultural	
  
localize	
  	
  to	
  specific	
  region	
  
by	
  adapGng	
  content	
  and	
  
using	
  state	
  of	
  art	
  
language	
  technologies	
  
localizing	
  open	
  educaJonal	
  data	
  to	
  
train	
  the	
  trainers	
  
organizing	
  events	
  to	
  spur	
  innovaJon	
  
challenges	
   creaJvity	
  
excellence	
  hack	
  using	
  open	
  data	
  
transferring	
  innovaJon	
  to	
  the	
  regional	
  
ecosystem	
  
collaboraJon	
  with	
  stevianet.gr	
  	
   experiment	
  
citytofarm.gr	
  plagorm	
  for	
  ag-­‐machinery	
  sharing	
  
HOW	
  WE	
  COULD	
  SHARE	
  KNOWLEDGE	
  
BETWEEN	
  EU/NATIONAL	
  AND	
  
REGIONAL	
  COMMUNITIES?	
  
EU/NaGonal	
  
Knowledge	
  Hub	
  
Regional/Local	
  
Knowledge	
  Hubs	
  
Source	
  diagram	
  from	
  Open	
  Models	
  concept	
  paper:	
  h8p://bit.ly/1p729Jm	
  
adopJng	
  open	
  business	
  models	
  
Separate	
  Independent	
  (variably	
  
linked)	
  acJons	
  
CollecJve	
  and	
  Cohesive	
  Approach	
  
(More	
  CollaboraJon,	
  CoordinaJon,	
  
CommunicaJon,	
  ConnecJon)	
  
taking	
  stock	
  of	
  other	
  exisJng	
  work	
  
thank	
  you	
  
stoitsis@agroknow.gr	
  
	
  

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Facilitating regional growth through they use of open agricultural data

  • 1.   how  open  data  and  knowledge  sharing  can   facilitate  regional  growth:  the  case  of   agricultural  sector   Giannis  Stoitsis,  COO  at  Agro-­‐Know   www.agroknow.gr   WIRE  2014  conference    
  • 2. AGRO-­‐KNOW:  WHY,  HOW  AND   WHAT  WE  ARE  DOING  
  • 3. An  company  that  captures,  organizes  and  adds  value   to  the  rich  informaJon  available  in  agricultural   domain,  in  order  to  make  it  universally  accessible,   useful  and  meaningful.   http://www.agroknow.gr
  • 4. Unorganized  Content  in   local  and  remote  sites   Widgets   Authoring  services   Data  Discovery  Services   AnalyGcs  services   Agricultural  Data  PlaIorm       IngesGon   TranslaGon   PublicaGon   Harvesting BlossomCultivation Organized  and  structured   Content  in  local  and  remote   DBs   EducaGonal   Bibliographic   Other   Enrichment   Aggregate data from diverse sources Works with different type of data Prepare data for meaningful services EducaGonal   Bibliographic   knowledge  aggregaJon  &  sharing  soluJons  
  • 5. open  data  relevant  acJviJes   •  ParJcipaJon  in  the  data  interoperability  groups  of  the   Research  Data  Alliance   –  wheat   –  germplasm   •  ParJcipaJon  in  Global  Open  Data  for  Agriculture  and   NutriJon  (hQp://godan.info/)   •  EU  projects  for  the  generaJon  of  a  linked  agricultural   data  infrastructure   –  agINFRA.eu   –  SemaGrow.eu   –  in  G8  Open  Data  in  Agriculture  AcJon     Plan  for  Europe  
  • 6. OPEN  DATA  IN  AGRO-­‐FOOD   SECTOR    
  • 7. 7   Key  facts  about  agricultural  trends   Agriculture  is  about  to  experience  a  “growth  shock”  in  order  to  cover   the  exponenGally  increasing  food  needs  of  the  global  populaGon   •  All  demographic  and  food  demand  projecGons  suggest  that,  by   2050,  the  planet  will  face  severe  food  crises  due  to  our  inability   to  meet  agricultural  demand  –  by  2050:   •  9.3  billion  global  populaGon,  34%  higher  than  today   •  70%  of  the  world’s  populaGon  will  be  urban,  compared   to  49%  today   •  food  producJon  (net  of  food  used  for  biofuels)  must   increase  by  70%     •  According  to  these  projecJons,  and  in  order  to  achieve  the   forecasted  food  levels  by  2050,  a  total  investment  of  USD  83   billion  per  annum  will  be  required     •  A  large  part  of  this  investment  will  need  to  be  focused  on  R&D    
  • 8. 8   Open  Data  in  Agriculture   One  of  the  most  promising  routes  to  agriculture  modernisaGon   is  the  provision  of  Open  Data  to  all  interested  parGes   •  In  an  era  of  Big  Data,  one  of  the  most  promising  routes  to  achieve   R&D  excellence  in  agriculture  is  Open  Data,  and  in  parJcular:   –  provisioning,     –  maintaining,   –  enriching  with  relevant  metadata  and   –  making  openly  available    a  vast  amount  of  open  agricultural   data   •  The  use  and  wide  disseminaGon  of  these  data  sets  is  strongly   advocated  by  a  number  of  global  and  naJonal  policy  makers  such   as:   –  The  New  Alliance  for  Food  Security  and  NutriJon  G-­‐8   iniJaJve   –  FAO  of  the  UN   –  DEFRA  &  DFID  in  UK   –  USDA  &  USAID  in  the  US  
  • 14. open  data  is  not  always  ready  to  be   used….   •  Messy  data   •  Should  be  collected/fused   •  Should  be  filtered   •  Should  be  validated   •  Should  be  enriched  with  metadata  to  become   discoverable   •  Should  be  standardized  to  allow  interoperability    
  • 15. opportuniJes  for  data  oriented  SMEs   1.  Help  organizaJons  to  open  their  data   –  consulJng  services   –  open  source  sodware  as  a  service   2.  Develop  meaningful  services  using  open  data   –  data  processing  to  improve  quality   –  end  users  apps  
  • 16. USING  OPEN  DATA  AND  KNOWLEDGE   SHARING  IN  AGRO-­‐FOOD  SECTOR  
  • 17. using  open  data  to  build  an  open  and   scalable  infrastructure  for  food  safety  
  • 18. using  open  data  to  support  decision  making  for   regional  growth   browse  agricultural   resources  and  acGviGes  by   geographical  region  to   understand  opportuniGes  for   grows  at  regional  level    
  • 19. using  open  educaJonal  data  to  support   training  on  organic  agricultural   localize    to  specific  region   by  adapGng  content  and   using  state  of  art   language  technologies  
  • 20. localizing  open  educaJonal  data  to   train  the  trainers  
  • 21. organizing  events  to  spur  innovaJon   challenges   creaJvity   excellence  hack  using  open  data  
  • 22. transferring  innovaJon  to  the  regional   ecosystem   collaboraJon  with  stevianet.gr     experiment   citytofarm.gr  plagorm  for  ag-­‐machinery  sharing  
  • 23. HOW  WE  COULD  SHARE  KNOWLEDGE   BETWEEN  EU/NATIONAL  AND   REGIONAL  COMMUNITIES?  
  • 24. EU/NaGonal   Knowledge  Hub   Regional/Local   Knowledge  Hubs   Source  diagram  from  Open  Models  concept  paper:  h8p://bit.ly/1p729Jm   adopJng  open  business  models  
  • 25. Separate  Independent  (variably   linked)  acJons   CollecJve  and  Cohesive  Approach   (More  CollaboraJon,  CoordinaJon,   CommunicaJon,  ConnecJon)   taking  stock  of  other  exisJng  work