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Facilitating regional growth through they use of open agricultural data

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Facilitating regional growth through they use of open agricultural data

  1. 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. 2. AGRO-­‐KNOW:  WHY,  HOW  AND   WHAT  WE  ARE  DOING  
  3. 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. 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. 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. 6. OPEN  DATA  IN  AGRO-­‐FOOD   SECTOR    
  7. 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. 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  
  9. 9. Data  sources  
  10. 10. Data  sources  
  11. 11. 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    
  12. 12. 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  
  13. 13. USING  OPEN  DATA  AND  KNOWLEDGE   SHARING  IN  AGRO-­‐FOOD  SECTOR  
  14. 14. using  open  data  to  build  an  open  and   scalable  infrastructure  for  food  safety  
  15. 15. 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    
  16. 16. using  open  educaJonal  data  to  support   training  on  organic  agricultural   localize    to  specific  region   by  adapGng  content  and   using  state  of  art   language  technologies  
  17. 17. localizing  open  educaJonal  data  to   train  the  trainers  
  18. 18. organizing  events  to  spur  innovaJon   challenges   creaJvity   excellence  hack  using  open  data  
  19. 19. transferring  innovaJon  to  the  regional   ecosystem   collaboraJon  with  stevianet.gr     experiment   citytofarm.gr  plagorm  for  ag-­‐machinery  sharing  
  20. 20. HOW  WE  COULD  SHARE  KNOWLEDGE   BETWEEN  EU/NATIONAL  AND   REGIONAL  COMMUNITIES?  
  21. 21. EU/NaGonal   Knowledge  Hub   Regional/Local   Knowledge  Hubs   Source  diagram  from  Open  Models  concept  paper:  h8p://bit.ly/1p729Jm   adopJng  open  business  models  
  22. 22. Separate  Independent  (variably   linked)  acJons   CollecJve  and  Cohesive  Approach   (More  CollaboraJon,  CoordinaJon,   CommunicaJon,  ConnecJon)   taking  stock  of  other  exisJng  work  
  23. 23. thank  you   stoitsis@agroknow.gr    

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