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OS22 Harnessing technology to collect
and integrate data and convert to
useful information for decision
makers
Thibaud Porphyre PhD
Industrial Chair in Veterinary Public Health
UMR5558 LBBE, VetAgro Sup
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 2
The interplay between
knowledge, data and models
Thibaud Porphyre
Harnessing data for decision-making
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 3
All integrated into one single
systems, easily accessible
The Utopia
Ezanno et al (2021) Vet Res
Thibaud Porphyre
Harnessing data for decision-making
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 4
Diversity of data types and
data sources
Diversity of geographic and
temporal scales
Diversity of quality of records
Diversity of data owners, and
data managers
In reality, a big mess
Thibaud Porphyre
Harnessing data for decision-making
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 5
Thibaud Porphyre
Harnessing data for decision-making
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 6
What databases contain what I
need?
What information are available in
these databases?
What are their collection and
reporting methodologies?
How do we link these databases?
Thibaud Porphyre
Harnessing data for decision-making
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 7
Source: Celine Favergon, AusVet
Examples of Integrated Systems
Thibaud Porphyre
Harnessing data for decision-making
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 8
Automatic visualisation of
data and inter-relationships
Improve operationality of
information
Improve communication
Benefits of integrated
data system
New York Times
Thibaud Porphyre
Harnessing data for decision-making
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 9
Thibaud Porphyre
Harnessing data for decision-making
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 10
FAIR principles vs. reality
Time consumming principles
It is not quick nor cheap
● Data curating and integration need time,
hardly available during outbreak response
● Benchmarking and reliability testing
● Confidentiality and data sharing
agreements for each individual dataset
(lawyer-time dependencies)
Thibaud Porphyre
Harnessing data for decision-making
https://uc3.cdlib.org/2015/09/14/data-curation-viz/
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 11
FAIR principles vs. reality
Time consumming principles
It is not quick nor cheap
● Data curating and integration need time,
hardly available during outbreak response
● Benchmarking and reliability testing
● Confidentiality and data sharing
agreements for each individual dataset
(lawyer-time dependencies)
● Integrate technologies within the
socio‐ecological systems that it is
deployed
Muwonge et al (2022) BMJ Open
Thibaud Porphyre
Harnessing data for decision-making
https://project-thea.org
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 12
FAIR principles vs. reality
Future proofing
Data change in time
● Changes in the livestock industry
● Changes in the monitoring and reporting
methodologies
● Changes due to learning the data,
identifying gaps and creation of new data
N. Shadbolt et al (2021) Epidemics
Thibaud Porphyre
Harnessing data for decision-making
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 13
FAIR principles vs. reality
Future proofing
Data change in time
● Changes in the livestock industry
● Changes in the monitoring and reporting
methodologies
● Changes due to learning the data,
identifying gaps and creation of new data
N. Shadbolt et al (2021) Epidemics
Thibaud Porphyre
Harnessing data for decision-making
Data ecosystem
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 14
FAIR principles vs. reality
Future proofing
Data change in time
● Changes in the livestock industry
● Changes in the monitoring and reporting
methodologies
● Changes due to learning the data,
identifying gaps and creation of new data
N. Shadbolt et al (2021) Epidemics
Effective
Efficient
Equitable
Thibaud Porphyre
Harnessing data for decision-making
Data ecosystem
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 15
FAIR principles vs. reality
Future proofing
Data change in time
● Changes in the livestock industry
● Changes in the monitoring and reporting
methodologies
● Changes due to learning the data,
identifying gaps and creation of new data
N. Shadbolt et al (2021) Epidemics
Data ecosystem
Effective
Efficient
Equitable
Thibaud Porphyre
Harnessing data for decision-making
Traceability of the inputs with outputs
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 16
https://www.fairdatapipeline.org
Mitchell et al (2022) Phil Trans R Soc
Scottish COVID-19
Response Consortium
Thibaud Porphyre
Harnessing data for decision-making
The FAIR data pipeline
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 17
Confidentiality
Open Access vs. Not-so-open Access
● How to integrate data of various
confidentiality status but still being usable
to most modeller?
● Validity and reapetability of
science/research outputs
● Pro/con of synthetics datasets
Thibaud Porphyre
Harnessing data for decision-making
The FAIR data pipeline
#OS22
Digitalization and innovation applied to the prevention and control of
foot-and-mouth and similar transboundary animal diseases (FAST) OS22 18
Cost and benefit in investment
● Greatly facilitate communication and
ownership in data collection
● Computing speed in some case
● Sustainability of infrastructure
● Server(s) location and legal
environment
● Interoperability of currently developed
models to the cloud environment
● Internet access and bandwidth
Thibaud Porphyre
Harnessing data for decision-making
Cloud Computing
Environment to support data storage,
integration, analysis and
communication
Thank you !..
thibaud.porphyre@vetagro-sup.fr

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T. Porphyre - Harnessing technology to collect and integrate data and convert to useful information for decision makers

  • 1. EuFMD OS22 Harnessing technology to collect and integrate data and convert to useful information for decision makers Thibaud Porphyre PhD Industrial Chair in Veterinary Public Health UMR5558 LBBE, VetAgro Sup
  • 2. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 2 The interplay between knowledge, data and models Thibaud Porphyre Harnessing data for decision-making
  • 3. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 3 All integrated into one single systems, easily accessible The Utopia Ezanno et al (2021) Vet Res Thibaud Porphyre Harnessing data for decision-making
  • 4. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 4 Diversity of data types and data sources Diversity of geographic and temporal scales Diversity of quality of records Diversity of data owners, and data managers In reality, a big mess Thibaud Porphyre Harnessing data for decision-making
  • 5. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 5 Thibaud Porphyre Harnessing data for decision-making
  • 6. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 6 What databases contain what I need? What information are available in these databases? What are their collection and reporting methodologies? How do we link these databases? Thibaud Porphyre Harnessing data for decision-making
  • 7. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 7 Source: Celine Favergon, AusVet Examples of Integrated Systems Thibaud Porphyre Harnessing data for decision-making
  • 8. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 8 Automatic visualisation of data and inter-relationships Improve operationality of information Improve communication Benefits of integrated data system New York Times Thibaud Porphyre Harnessing data for decision-making
  • 9. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 9 Thibaud Porphyre Harnessing data for decision-making
  • 10. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 10 FAIR principles vs. reality Time consumming principles It is not quick nor cheap ● Data curating and integration need time, hardly available during outbreak response ● Benchmarking and reliability testing ● Confidentiality and data sharing agreements for each individual dataset (lawyer-time dependencies) Thibaud Porphyre Harnessing data for decision-making https://uc3.cdlib.org/2015/09/14/data-curation-viz/
  • 11. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 11 FAIR principles vs. reality Time consumming principles It is not quick nor cheap ● Data curating and integration need time, hardly available during outbreak response ● Benchmarking and reliability testing ● Confidentiality and data sharing agreements for each individual dataset (lawyer-time dependencies) ● Integrate technologies within the socio‐ecological systems that it is deployed Muwonge et al (2022) BMJ Open Thibaud Porphyre Harnessing data for decision-making https://project-thea.org
  • 12. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 12 FAIR principles vs. reality Future proofing Data change in time ● Changes in the livestock industry ● Changes in the monitoring and reporting methodologies ● Changes due to learning the data, identifying gaps and creation of new data N. Shadbolt et al (2021) Epidemics Thibaud Porphyre Harnessing data for decision-making
  • 13. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 13 FAIR principles vs. reality Future proofing Data change in time ● Changes in the livestock industry ● Changes in the monitoring and reporting methodologies ● Changes due to learning the data, identifying gaps and creation of new data N. Shadbolt et al (2021) Epidemics Thibaud Porphyre Harnessing data for decision-making Data ecosystem
  • 14. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 14 FAIR principles vs. reality Future proofing Data change in time ● Changes in the livestock industry ● Changes in the monitoring and reporting methodologies ● Changes due to learning the data, identifying gaps and creation of new data N. Shadbolt et al (2021) Epidemics Effective Efficient Equitable Thibaud Porphyre Harnessing data for decision-making Data ecosystem
  • 15. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 15 FAIR principles vs. reality Future proofing Data change in time ● Changes in the livestock industry ● Changes in the monitoring and reporting methodologies ● Changes due to learning the data, identifying gaps and creation of new data N. Shadbolt et al (2021) Epidemics Data ecosystem Effective Efficient Equitable Thibaud Porphyre Harnessing data for decision-making Traceability of the inputs with outputs
  • 16. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 16 https://www.fairdatapipeline.org Mitchell et al (2022) Phil Trans R Soc Scottish COVID-19 Response Consortium Thibaud Porphyre Harnessing data for decision-making The FAIR data pipeline
  • 17. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 17 Confidentiality Open Access vs. Not-so-open Access ● How to integrate data of various confidentiality status but still being usable to most modeller? ● Validity and reapetability of science/research outputs ● Pro/con of synthetics datasets Thibaud Porphyre Harnessing data for decision-making The FAIR data pipeline
  • 18. #OS22 Digitalization and innovation applied to the prevention and control of foot-and-mouth and similar transboundary animal diseases (FAST) OS22 18 Cost and benefit in investment ● Greatly facilitate communication and ownership in data collection ● Computing speed in some case ● Sustainability of infrastructure ● Server(s) location and legal environment ● Interoperability of currently developed models to the cloud environment ● Internet access and bandwidth Thibaud Porphyre Harnessing data for decision-making Cloud Computing Environment to support data storage, integration, analysis and communication