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Overview by Barbara Baille
11 February 2020
SESSION 2
Session 2
• Welcome
• Learning Objectives
• Presenter/Facilitator Introduction(s)
• Overview of how the session will work
11 February 2020
Learning objectives
• To identify existing evidence, resources, and tools that
can support data curation and analysis
• To share personal experiences and learned from other
participants how to improve the nutrition data value
chain
• To reflect on ways to address data curation and analysis
gaps and prioritize future actions and recommendations
26 February 2020
PLENARY
Presentation:
Data curation and analysis process: definition, challenges,
solutions and concrete examples
Chika Hayashi
Panel discussion:
Using one country example, share the biggest challenges
with data curation/analysis, strategies used to address them
and recommendations
• Pascal Nakelse: Burkina Faso country perspective
• Kouame Oka Rene: Cote d’Ivoire country perspective
• Veronica Quartey: Countdown Ghana
• Moderated by Safia Jiwani
11 February 2020
BREAK-OUT
French table discussions to
identify best practices, gaps, and
recommendations
English table discussions to
identify best practices, gaps,
and recommendations
Feedback to all on major
highlights discussed
Feedback to all on major
highlights discussed
26 February 2020
Tables 1 & 2
• What are the main challenges to Data Analysis for Nutrition?
• What are the solutions to address the identified challenges?
• List out few key recommendations
• What are the main challenges to Data Curation for
Nutrition?
• What are the solutions to address the identified challenges?
• List out few key recommendations
26 February 2020
Tables 3 & 4
• What are the main challenges to Data Curation for
Nutrition?
• What are the solutions to address the identified challenges?
• List out few key recommendations
• What are the main challenges to Data Analysis for Nutrition?
• What are the solutions to address the identified challenges?
• List out few key recommendations
26 February 2020
Thank you!

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T4N - Session 2 on Data Curation and Analysis:practices, challenges, and opportunities for better use of nutrition data - An Overview

  • 1. Overview by Barbara Baille 11 February 2020 SESSION 2
  • 2. Session 2 • Welcome • Learning Objectives • Presenter/Facilitator Introduction(s) • Overview of how the session will work 11 February 2020
  • 3. Learning objectives • To identify existing evidence, resources, and tools that can support data curation and analysis • To share personal experiences and learned from other participants how to improve the nutrition data value chain • To reflect on ways to address data curation and analysis gaps and prioritize future actions and recommendations 26 February 2020
  • 4. PLENARY Presentation: Data curation and analysis process: definition, challenges, solutions and concrete examples Chika Hayashi Panel discussion: Using one country example, share the biggest challenges with data curation/analysis, strategies used to address them and recommendations • Pascal Nakelse: Burkina Faso country perspective • Kouame Oka Rene: Cote d’Ivoire country perspective • Veronica Quartey: Countdown Ghana • Moderated by Safia Jiwani 11 February 2020
  • 5. BREAK-OUT French table discussions to identify best practices, gaps, and recommendations English table discussions to identify best practices, gaps, and recommendations Feedback to all on major highlights discussed Feedback to all on major highlights discussed 26 February 2020
  • 6. Tables 1 & 2 • What are the main challenges to Data Analysis for Nutrition? • What are the solutions to address the identified challenges? • List out few key recommendations • What are the main challenges to Data Curation for Nutrition? • What are the solutions to address the identified challenges? • List out few key recommendations 26 February 2020
  • 7. Tables 3 & 4 • What are the main challenges to Data Curation for Nutrition? • What are the solutions to address the identified challenges? • List out few key recommendations • What are the main challenges to Data Analysis for Nutrition? • What are the solutions to address the identified challenges? • List out few key recommendations 26 February 2020