SlideShare a Scribd company logo
1 of 9
Download to read offline
The potential role of open data in
supply chain integration
Christopher Brewster
Aston University
GODAN Workshop, 19-20 January, 2015
Wageningen
Food is infrastructure
• An invisible system that supports our
lives ("infrastructure is our life support
system” @paulgrahamraven)
• “invisible” — means it works
• “invisible” — means it is not transparent
2
Transparency means data integrations
• Drivers for Data Integration
• Need for transparency - tracking and tracing
• Desire for food awareness - on the part of
consumers, but not only
• Regulatory pressure - e.g.EU Regulation
1169/2011
• New business opportunities ….
3
Food Crises and Scandals
• Major driver for greater data integration (whether
open or closed).
• E. Coli in Germany in 2011 - Spanish growers
lost over €200M
• Horse meat scandal across Europe in 2013 -
impact very great on some supermarkets
4
Lack of Data Integration
• Both scandals suffered from lack of data and
data integration
• E. Coli - who affected? what purchased?
where? when? and who participated in the
supply chain
• Horse meat - six months for Irish FSA to map
the supply chain network
• Need for greater supply chain transparency =
need for data integration
5
Data is Infrastructure
• “National Information Infrastructure” @jeniT
• Like all infrastructure somebody pays for it
• It moves like roads (in the 18th century) from a private
invention to a public utility
• So agri-food data needs to become a “public utility”
• Where we draw a sensible line between public and
private/commercial data is up for discussion and
negotiation
• Cost of data capture is decreasing
6
Current Agrifood Open Data
• Mostly:
• Government/EC data - statistics or
lists of allowable additives/pesticides
etc.
• Open research data — AGRIS
• This is great but not enough ….
7
What we need!
• End-to-end supply chain data that is "as
open as possible"
• Beginnings are occurring:
• In UK - Where’s that From (app) using open
FSA data
• In France - OpenFoodFacts - food product
ingredients crowdsources from labels
8
How to do this…
• What are the non-
obvious
approaches?
9

More Related Content

What's hot

Complying with the EC Open Data Directive
Complying with the EC Open Data DirectiveComplying with the EC Open Data Directive
Complying with the EC Open Data DirectiveDerilinx
 
Supporting Open Data Publishers
Supporting Open Data PublishersSupporting Open Data Publishers
Supporting Open Data PublishersDerilinx
 
Big Data and IPR
Big Data and IPRBig Data and IPR
Big Data and IPRKrijn Poppe
 
What is the GDPR & What does it mean for YOUR business?
What is the GDPR & What does it mean for YOUR business?What is the GDPR & What does it mean for YOUR business?
What is the GDPR & What does it mean for YOUR business?Nexsen Pruet
 
Bioinformatics market
Bioinformatics marketBioinformatics market
Bioinformatics marketBarbarHinkle
 
Call for Papers - International Journal of Information Sciences and Technique...
Call for Papers - International Journal of Information Sciences and Technique...Call for Papers - International Journal of Information Sciences and Technique...
Call for Papers - International Journal of Information Sciences and Technique...ijistjournal
 
Changing legislation – General Data Protection Regulation (GDPR) and librarie...
Changing legislation – General Data Protection Regulation (GDPR) and librarie...Changing legislation – General Data Protection Regulation (GDPR) and librarie...
Changing legislation – General Data Protection Regulation (GDPR) and librarie...CILIPScotland
 
EU & Cookies. Prawo w analityce webowej - Geddy Van Elburg
EU & Cookies. Prawo w analityce webowej - Geddy Van ElburgEU & Cookies. Prawo w analityce webowej - Geddy Van Elburg
EU & Cookies. Prawo w analityce webowej - Geddy Van ElburgBluerank
 
Legal Issues in Big Data
Legal Issues in Big DataLegal Issues in Big Data
Legal Issues in Big DataBYTE Project
 

What's hot (11)

Complying with the EC Open Data Directive
Complying with the EC Open Data DirectiveComplying with the EC Open Data Directive
Complying with the EC Open Data Directive
 
Supporting Open Data Publishers
Supporting Open Data PublishersSupporting Open Data Publishers
Supporting Open Data Publishers
 
Big Data and IPR
Big Data and IPRBig Data and IPR
Big Data and IPR
 
What is the GDPR & What does it mean for YOUR business?
What is the GDPR & What does it mean for YOUR business?What is the GDPR & What does it mean for YOUR business?
What is the GDPR & What does it mean for YOUR business?
 
Bioinformatics market
Bioinformatics marketBioinformatics market
Bioinformatics market
 
Call for Papers - International Journal of Information Sciences and Technique...
Call for Papers - International Journal of Information Sciences and Technique...Call for Papers - International Journal of Information Sciences and Technique...
Call for Papers - International Journal of Information Sciences and Technique...
 
Changing legislation – General Data Protection Regulation (GDPR) and librarie...
Changing legislation – General Data Protection Regulation (GDPR) and librarie...Changing legislation – General Data Protection Regulation (GDPR) and librarie...
Changing legislation – General Data Protection Regulation (GDPR) and librarie...
 
EU & Cookies. Prawo w analityce webowej - Geddy Van Elburg
EU & Cookies. Prawo w analityce webowej - Geddy Van ElburgEU & Cookies. Prawo w analityce webowej - Geddy Van Elburg
EU & Cookies. Prawo w analityce webowej - Geddy Van Elburg
 
ORGANIZING AND ORGANIZATIONS IN OPEN DATA ECOSYSTEMS
ORGANIZING AND ORGANIZATIONS IN OPEN DATA ECOSYSTEMSORGANIZING AND ORGANIZATIONS IN OPEN DATA ECOSYSTEMS
ORGANIZING AND ORGANIZATIONS IN OPEN DATA ECOSYSTEMS
 
Legal Issues in Big Data
Legal Issues in Big DataLegal Issues in Big Data
Legal Issues in Big Data
 
Wathen "Removing What Gets in the Way of Work: Improving Library Workflow Eff...
Wathen "Removing What Gets in the Way of Work: Improving Library Workflow Eff...Wathen "Removing What Gets in the Way of Work: Improving Library Workflow Eff...
Wathen "Removing What Gets in the Way of Work: Improving Library Workflow Eff...
 

Similar to The potential role of open data in supply chain integration

GeospatialWorlForum_Genève_090514
GeospatialWorlForum_Genève_090514GeospatialWorlForum_Genève_090514
GeospatialWorlForum_Genève_090514Marc Leobet
 
Syros 2014 karamanolis need to be refined tmrw
Syros 2014   karamanolis need to be refined tmrwSyros 2014   karamanolis need to be refined tmrw
Syros 2014 karamanolis need to be refined tmrwGeorgios Karamanolis
 
Is an agro-biodiversity data-powered tech start up going to profitable?
Is an agro-biodiversity data-powered tech start up going to profitable?Is an agro-biodiversity data-powered tech start up going to profitable?
Is an agro-biodiversity data-powered tech start up going to profitable?Nikos Manouselis
 
Sundmaeker-FGS-Wien-V04.pptx
Sundmaeker-FGS-Wien-V04.pptxSundmaeker-FGS-Wien-V04.pptx
Sundmaeker-FGS-Wien-V04.pptxFIWARE
 
Open Data in the agrifood sector
Open Data in the agrifood sectorOpen Data in the agrifood sector
Open Data in the agrifood sectorStoitsis Giannis
 
Trust, Semantics and Blockchains: Food Safety in the age of IoT
Trust, Semantics and Blockchains: Food Safety in the age of IoTTrust, Semantics and Blockchains: Food Safety in the age of IoT
Trust, Semantics and Blockchains: Food Safety in the age of IoTChristopher Brewster
 
Reflections on making EFSA an open science organisation
Reflections on making EFSA an open science organisationReflections on making EFSA an open science organisation
Reflections on making EFSA an open science organisationNikos Manouselis
 
BYTE: Big data roadmap and cross-disciplinary community for addressing societ...
BYTE: Big data roadmap and cross-disciplinary community for addressing societ...BYTE: Big data roadmap and cross-disciplinary community for addressing societ...
BYTE: Big data roadmap and cross-disciplinary community for addressing societ...BYTE Project
 
EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...
EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...
EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...European Data Forum
 
Open Data Working Group - Agricultural Showcase
Open Data Working Group - Agricultural ShowcaseOpen Data Working Group - Agricultural Showcase
Open Data Working Group - Agricultural ShowcaseStoitsis Giannis
 
CSAP Big Data 10 Apr 2014
CSAP Big Data 10 Apr 2014CSAP Big Data 10 Apr 2014
CSAP Big Data 10 Apr 2014Andrew Stott
 
SC7 Workshop 1: Towards a data-driven economy in Europe
SC7 Workshop 1: Towards a data-driven economy in EuropeSC7 Workshop 1: Towards a data-driven economy in Europe
SC7 Workshop 1: Towards a data-driven economy in EuropeBigData_Europe
 
KJP Almeria Horticulture collaboration 2015 final
KJP Almeria Horticulture collaboration 2015 finalKJP Almeria Horticulture collaboration 2015 final
KJP Almeria Horticulture collaboration 2015 finalKrijn Poppe
 
National approaches to Electronic Health Records
National approaches to Electronic Health RecordsNational approaches to Electronic Health Records
National approaches to Electronic Health Recordsipposi
 
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 Workshop
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 WorkshopSC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 Workshop
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 WorkshopBigData_Europe
 
Open Data 2.0 - Presentation at Uruguay Open Data Conferences - June 2013
Open Data 2.0 - Presentation at Uruguay Open Data Conferences - June 2013Open Data 2.0 - Presentation at Uruguay Open Data Conferences - June 2013
Open Data 2.0 - Presentation at Uruguay Open Data Conferences - June 2013Open Data Research Network
 
European Commission's Open Data Strategy and the EU Open Data Portal
European Commission's Open Data Strategy and the EU Open Data PortalEuropean Commission's Open Data Strategy and the EU Open Data Portal
European Commission's Open Data Strategy and the EU Open Data PortalEFSA EU
 
Flanders Open Data Day II - KeyNote - Erik Mannens
Flanders Open Data Day II - KeyNote - Erik MannensFlanders Open Data Day II - KeyNote - Erik Mannens
Flanders Open Data Day II - KeyNote - Erik MannensErik Mannens
 
DAY 1_ITEM 4_Privacy and personal data protection.ppt
DAY 1_ITEM 4_Privacy and personal data protection.pptDAY 1_ITEM 4_Privacy and personal data protection.ppt
DAY 1_ITEM 4_Privacy and personal data protection.pptGmvViju1
 

Similar to The potential role of open data in supply chain integration (20)

GeospatialWorlForum_Genève_090514
GeospatialWorlForum_Genève_090514GeospatialWorlForum_Genève_090514
GeospatialWorlForum_Genève_090514
 
Syros 2014 karamanolis need to be refined tmrw
Syros 2014   karamanolis need to be refined tmrwSyros 2014   karamanolis need to be refined tmrw
Syros 2014 karamanolis need to be refined tmrw
 
Is an agro-biodiversity data-powered tech start up going to profitable?
Is an agro-biodiversity data-powered tech start up going to profitable?Is an agro-biodiversity data-powered tech start up going to profitable?
Is an agro-biodiversity data-powered tech start up going to profitable?
 
Sundmaeker-FGS-Wien-V04.pptx
Sundmaeker-FGS-Wien-V04.pptxSundmaeker-FGS-Wien-V04.pptx
Sundmaeker-FGS-Wien-V04.pptx
 
Open Data in the agrifood sector
Open Data in the agrifood sectorOpen Data in the agrifood sector
Open Data in the agrifood sector
 
Trust, Semantics and Blockchains: Food Safety in the age of IoT
Trust, Semantics and Blockchains: Food Safety in the age of IoTTrust, Semantics and Blockchains: Food Safety in the age of IoT
Trust, Semantics and Blockchains: Food Safety in the age of IoT
 
Data
DataData
Data
 
Reflections on making EFSA an open science organisation
Reflections on making EFSA an open science organisationReflections on making EFSA an open science organisation
Reflections on making EFSA an open science organisation
 
BYTE: Big data roadmap and cross-disciplinary community for addressing societ...
BYTE: Big data roadmap and cross-disciplinary community for addressing societ...BYTE: Big data roadmap and cross-disciplinary community for addressing societ...
BYTE: Big data roadmap and cross-disciplinary community for addressing societ...
 
EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...
EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...
EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...
 
Open Data Working Group - Agricultural Showcase
Open Data Working Group - Agricultural ShowcaseOpen Data Working Group - Agricultural Showcase
Open Data Working Group - Agricultural Showcase
 
CSAP Big Data 10 Apr 2014
CSAP Big Data 10 Apr 2014CSAP Big Data 10 Apr 2014
CSAP Big Data 10 Apr 2014
 
SC7 Workshop 1: Towards a data-driven economy in Europe
SC7 Workshop 1: Towards a data-driven economy in EuropeSC7 Workshop 1: Towards a data-driven economy in Europe
SC7 Workshop 1: Towards a data-driven economy in Europe
 
KJP Almeria Horticulture collaboration 2015 final
KJP Almeria Horticulture collaboration 2015 finalKJP Almeria Horticulture collaboration 2015 final
KJP Almeria Horticulture collaboration 2015 final
 
National approaches to Electronic Health Records
National approaches to Electronic Health RecordsNational approaches to Electronic Health Records
National approaches to Electronic Health Records
 
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 Workshop
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 WorkshopSC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 Workshop
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 Workshop
 
Open Data 2.0 - Presentation at Uruguay Open Data Conferences - June 2013
Open Data 2.0 - Presentation at Uruguay Open Data Conferences - June 2013Open Data 2.0 - Presentation at Uruguay Open Data Conferences - June 2013
Open Data 2.0 - Presentation at Uruguay Open Data Conferences - June 2013
 
European Commission's Open Data Strategy and the EU Open Data Portal
European Commission's Open Data Strategy and the EU Open Data PortalEuropean Commission's Open Data Strategy and the EU Open Data Portal
European Commission's Open Data Strategy and the EU Open Data Portal
 
Flanders Open Data Day II - KeyNote - Erik Mannens
Flanders Open Data Day II - KeyNote - Erik MannensFlanders Open Data Day II - KeyNote - Erik Mannens
Flanders Open Data Day II - KeyNote - Erik Mannens
 
DAY 1_ITEM 4_Privacy and personal data protection.ppt
DAY 1_ITEM 4_Privacy and personal data protection.pptDAY 1_ITEM 4_Privacy and personal data protection.ppt
DAY 1_ITEM 4_Privacy and personal data protection.ppt
 

More from Christopher Brewster

Ploutos Project: Data-driven sustainable agri-food value chains
Ploutos Project: Data-driven sustainable agri-food value chains Ploutos Project: Data-driven sustainable agri-food value chains
Ploutos Project: Data-driven sustainable agri-food value chains Christopher Brewster
 
Planetary health and digital agriculture: Navigating the contradictions
Planetary health and digital agriculture: Navigating the contradictionsPlanetary health and digital agriculture: Navigating the contradictions
Planetary health and digital agriculture: Navigating the contradictionsChristopher Brewster
 
IT architectures for data sharing in agri food
IT architectures for data sharing in agri foodIT architectures for data sharing in agri food
IT architectures for data sharing in agri foodChristopher Brewster
 
Interoperability and Blockchains in Agrifood
Interoperability and Blockchains in AgrifoodInteroperability and Blockchains in Agrifood
Interoperability and Blockchains in AgrifoodChristopher Brewster
 
Blockchains and linked data for agrifood value chains
Blockchains and linked data for agrifood value chainsBlockchains and linked data for agrifood value chains
Blockchains and linked data for agrifood value chainsChristopher Brewster
 
Uses of Blockchain Technology in the agrifood system
Uses of Blockchain Technology in the agrifood systemUses of Blockchain Technology in the agrifood system
Uses of Blockchain Technology in the agrifood systemChristopher Brewster
 
The landscape of agrifood data standards: From ontologies to messages
The landscape of agrifood data standards: From ontologies to messagesThe landscape of agrifood data standards: From ontologies to messages
The landscape of agrifood data standards: From ontologies to messagesChristopher Brewster
 
Semantics, Blockchains and Ricardian Contracts
Semantics, Blockchains and Ricardian ContractsSemantics, Blockchains and Ricardian Contracts
Semantics, Blockchains and Ricardian ContractsChristopher Brewster
 
Blockchains and Insurance: Opportunities and Challenges
Blockchains and Insurance: Opportunities and ChallengesBlockchains and Insurance: Opportunities and Challenges
Blockchains and Insurance: Opportunities and ChallengesChristopher Brewster
 
Semantic Blockchains in the Supply Chain
Semantic Blockchains in the Supply ChainSemantic Blockchains in the Supply Chain
Semantic Blockchains in the Supply ChainChristopher Brewster
 
Legibility, Privacy and Creativity: Linked Data in a Surveillance Society
Legibility, Privacy and Creativity: Linked Data in a Surveillance SocietyLegibility, Privacy and Creativity: Linked Data in a Surveillance Society
Legibility, Privacy and Creativity: Linked Data in a Surveillance SocietyChristopher Brewster
 

More from Christopher Brewster (15)

Ploutos Project: Data-driven sustainable agri-food value chains
Ploutos Project: Data-driven sustainable agri-food value chains Ploutos Project: Data-driven sustainable agri-food value chains
Ploutos Project: Data-driven sustainable agri-food value chains
 
Planetary health and digital agriculture: Navigating the contradictions
Planetary health and digital agriculture: Navigating the contradictionsPlanetary health and digital agriculture: Navigating the contradictions
Planetary health and digital agriculture: Navigating the contradictions
 
Planetary health and data science
Planetary health and data sciencePlanetary health and data science
Planetary health and data science
 
Agritech in the anthropocene
Agritech in the anthropoceneAgritech in the anthropocene
Agritech in the anthropocene
 
IT architectures for data sharing in agri food
IT architectures for data sharing in agri foodIT architectures for data sharing in agri food
IT architectures for data sharing in agri food
 
Interoperability and Blockchains in Agrifood
Interoperability and Blockchains in AgrifoodInteroperability and Blockchains in Agrifood
Interoperability and Blockchains in Agrifood
 
Smart contacts and the real world
Smart contacts and the real worldSmart contacts and the real world
Smart contacts and the real world
 
Blockchains and linked data for agrifood value chains
Blockchains and linked data for agrifood value chainsBlockchains and linked data for agrifood value chains
Blockchains and linked data for agrifood value chains
 
Uses of Blockchain Technology in the agrifood system
Uses of Blockchain Technology in the agrifood systemUses of Blockchain Technology in the agrifood system
Uses of Blockchain Technology in the agrifood system
 
The landscape of agrifood data standards: From ontologies to messages
The landscape of agrifood data standards: From ontologies to messagesThe landscape of agrifood data standards: From ontologies to messages
The landscape of agrifood data standards: From ontologies to messages
 
Blockchains in agriculture
Blockchains in agricultureBlockchains in agriculture
Blockchains in agriculture
 
Semantics, Blockchains and Ricardian Contracts
Semantics, Blockchains and Ricardian ContractsSemantics, Blockchains and Ricardian Contracts
Semantics, Blockchains and Ricardian Contracts
 
Blockchains and Insurance: Opportunities and Challenges
Blockchains and Insurance: Opportunities and ChallengesBlockchains and Insurance: Opportunities and Challenges
Blockchains and Insurance: Opportunities and Challenges
 
Semantic Blockchains in the Supply Chain
Semantic Blockchains in the Supply ChainSemantic Blockchains in the Supply Chain
Semantic Blockchains in the Supply Chain
 
Legibility, Privacy and Creativity: Linked Data in a Surveillance Society
Legibility, Privacy and Creativity: Linked Data in a Surveillance SocietyLegibility, Privacy and Creativity: Linked Data in a Surveillance Society
Legibility, Privacy and Creativity: Linked Data in a Surveillance Society
 

Recently uploaded

VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurVIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurSuhani Kapoor
 
Call Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine ServiceCall Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine Serviceritikaroy0888
 
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...lizamodels9
 
Eni 2024 1Q Results - 24.04.24 business.
Eni 2024 1Q Results - 24.04.24 business.Eni 2024 1Q Results - 24.04.24 business.
Eni 2024 1Q Results - 24.04.24 business.Eni
 
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779Delhi Call girls
 
VIP Call Girls Pune Kirti 8617697112 Independent Escort Service Pune
VIP Call Girls Pune Kirti 8617697112 Independent Escort Service PuneVIP Call Girls Pune Kirti 8617697112 Independent Escort Service Pune
VIP Call Girls Pune Kirti 8617697112 Independent Escort Service PuneCall girls in Ahmedabad High profile
 
Sales & Marketing Alignment: How to Synergize for Success
Sales & Marketing Alignment: How to Synergize for SuccessSales & Marketing Alignment: How to Synergize for Success
Sales & Marketing Alignment: How to Synergize for SuccessAggregage
 
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Dipal Arora
 
7.pdf This presentation captures many uses and the significance of the number...
7.pdf This presentation captures many uses and the significance of the number...7.pdf This presentation captures many uses and the significance of the number...
7.pdf This presentation captures many uses and the significance of the number...Paul Menig
 
Tech Startup Growth Hacking 101 - Basics on Growth Marketing
Tech Startup Growth Hacking 101  - Basics on Growth MarketingTech Startup Growth Hacking 101  - Basics on Growth Marketing
Tech Startup Growth Hacking 101 - Basics on Growth MarketingShawn Pang
 
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRLMONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRLSeo
 
GD Birla and his contribution in management
GD Birla and his contribution in managementGD Birla and his contribution in management
GD Birla and his contribution in managementchhavia330
 
Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999
Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999
Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999Tina Ji
 
VIP Call Girls In Saharaganj ( Lucknow ) 🔝 8923113531 🔝 Cash Payment (COD) 👒
VIP Call Girls In Saharaganj ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment (COD) 👒VIP Call Girls In Saharaganj ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment (COD) 👒
VIP Call Girls In Saharaganj ( Lucknow ) 🔝 8923113531 🔝 Cash Payment (COD) 👒anilsa9823
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear RegressionRavindra Nath Shukla
 
DEPED Work From Home WORKWEEK-PLAN.docx
DEPED Work From Home  WORKWEEK-PLAN.docxDEPED Work From Home  WORKWEEK-PLAN.docx
DEPED Work From Home WORKWEEK-PLAN.docxRodelinaLaud
 

Recently uploaded (20)

VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurVIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
 
Call Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine ServiceCall Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine Service
 
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
 
Eni 2024 1Q Results - 24.04.24 business.
Eni 2024 1Q Results - 24.04.24 business.Eni 2024 1Q Results - 24.04.24 business.
Eni 2024 1Q Results - 24.04.24 business.
 
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
 
Nepali Escort Girl Kakori \ 9548273370 Indian Call Girls Service Lucknow ₹,9517
Nepali Escort Girl Kakori \ 9548273370 Indian Call Girls Service Lucknow ₹,9517Nepali Escort Girl Kakori \ 9548273370 Indian Call Girls Service Lucknow ₹,9517
Nepali Escort Girl Kakori \ 9548273370 Indian Call Girls Service Lucknow ₹,9517
 
Best Practices for Implementing an External Recruiting Partnership
Best Practices for Implementing an External Recruiting PartnershipBest Practices for Implementing an External Recruiting Partnership
Best Practices for Implementing an External Recruiting Partnership
 
VIP Call Girls Pune Kirti 8617697112 Independent Escort Service Pune
VIP Call Girls Pune Kirti 8617697112 Independent Escort Service PuneVIP Call Girls Pune Kirti 8617697112 Independent Escort Service Pune
VIP Call Girls Pune Kirti 8617697112 Independent Escort Service Pune
 
Forklift Operations: Safety through Cartoons
Forklift Operations: Safety through CartoonsForklift Operations: Safety through Cartoons
Forklift Operations: Safety through Cartoons
 
Sales & Marketing Alignment: How to Synergize for Success
Sales & Marketing Alignment: How to Synergize for SuccessSales & Marketing Alignment: How to Synergize for Success
Sales & Marketing Alignment: How to Synergize for Success
 
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
 
7.pdf This presentation captures many uses and the significance of the number...
7.pdf This presentation captures many uses and the significance of the number...7.pdf This presentation captures many uses and the significance of the number...
7.pdf This presentation captures many uses and the significance of the number...
 
Tech Startup Growth Hacking 101 - Basics on Growth Marketing
Tech Startup Growth Hacking 101  - Basics on Growth MarketingTech Startup Growth Hacking 101  - Basics on Growth Marketing
Tech Startup Growth Hacking 101 - Basics on Growth Marketing
 
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRLMONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
 
GD Birla and his contribution in management
GD Birla and his contribution in managementGD Birla and his contribution in management
GD Birla and his contribution in management
 
Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999
Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999
Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999
 
VIP Call Girls In Saharaganj ( Lucknow ) 🔝 8923113531 🔝 Cash Payment (COD) 👒
VIP Call Girls In Saharaganj ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment (COD) 👒VIP Call Girls In Saharaganj ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment (COD) 👒
VIP Call Girls In Saharaganj ( Lucknow ) 🔝 8923113531 🔝 Cash Payment (COD) 👒
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear Regression
 
DEPED Work From Home WORKWEEK-PLAN.docx
DEPED Work From Home  WORKWEEK-PLAN.docxDEPED Work From Home  WORKWEEK-PLAN.docx
DEPED Work From Home WORKWEEK-PLAN.docx
 

The potential role of open data in supply chain integration

  • 1. The potential role of open data in supply chain integration Christopher Brewster Aston University GODAN Workshop, 19-20 January, 2015 Wageningen
  • 2. Food is infrastructure • An invisible system that supports our lives ("infrastructure is our life support system” @paulgrahamraven) • “invisible” — means it works • “invisible” — means it is not transparent 2
  • 3. Transparency means data integrations • Drivers for Data Integration • Need for transparency - tracking and tracing • Desire for food awareness - on the part of consumers, but not only • Regulatory pressure - e.g.EU Regulation 1169/2011 • New business opportunities …. 3
  • 4. Food Crises and Scandals • Major driver for greater data integration (whether open or closed). • E. Coli in Germany in 2011 - Spanish growers lost over €200M • Horse meat scandal across Europe in 2013 - impact very great on some supermarkets 4
  • 5. Lack of Data Integration • Both scandals suffered from lack of data and data integration • E. Coli - who affected? what purchased? where? when? and who participated in the supply chain • Horse meat - six months for Irish FSA to map the supply chain network • Need for greater supply chain transparency = need for data integration 5
  • 6. Data is Infrastructure • “National Information Infrastructure” @jeniT • Like all infrastructure somebody pays for it • It moves like roads (in the 18th century) from a private invention to a public utility • So agri-food data needs to become a “public utility” • Where we draw a sensible line between public and private/commercial data is up for discussion and negotiation • Cost of data capture is decreasing 6
  • 7. Current Agrifood Open Data • Mostly: • Government/EC data - statistics or lists of allowable additives/pesticides etc. • Open research data — AGRIS • This is great but not enough …. 7
  • 8. What we need! • End-to-end supply chain data that is "as open as possible" • Beginnings are occurring: • In UK - Where’s that From (app) using open FSA data • In France - OpenFoodFacts - food product ingredients crowdsources from labels 8
  • 9. How to do this… • What are the non- obvious approaches? 9