Stocktaking and Lessons Learnt from the Implementation of CountrySTAT for the ECO Countries 25 – 26 June 2015 FAO HQ, Rome, Italy Fabio Grita CountrySTAT team leader FAO Statistics Division © FAO: http://www.fao.org

1. CountrySTAT / FENIX
Objectives and Implementations
Stocktaking and Lessons Learnt
from the Implementation of CountrySTAT for the ECO Countries
25 – 26 June 2015
FAO HQ, Rome, Italy Fabio Grita
CountrySTAT team leader
FAO Statistics Division

2. Introductory Considerations
Global food and agriculture challenges require
fast, informed and
targeted
decisions

3. Introductory Considerations
We need to create the conditions for
evidence-based policies
in order to answer questions, such as:

4. Introductory Considerations
• Where are the hungry people?
• How much food is produced?
• How can agro-business become more
profitable?

5. Decision and Policy Making to
• Alleviate poverty
• Reduce hunger
• Promote rural development

6. Requirements
• Mobilization of the national and
international community
• High quality, comparable and timely
data

7. Data Issues
• Lack of data and metadata harmonization
• Poor data dissemination
systems/mechanisms
• Restrictive or unclear data policy
• Poor communication and awareness

8. Data Issues
Data is a renewable resource, created every
day by many organizations and individuals
There is a gap between the produced data
and its availability

9. What’s needed
• Avail data as “public good”
• Ensure interoperability between IT systems
• Include expert-knowledge and users’ requirements
in the IT system design
• Strengthen the international, regional and national
institutional networks

10. What’s needed
• Avail data as “public good”
• Ensure interoperability between IT systems
• Include expert-knowledge and users’ requirements
in the IT system design
• Strengthen the international, regional and national
institutional networks

11. The 3 Key Dimensions
Institutional Framework
(National/International Stakeholders)
Procedures and tools
Political dimension
Technical dimension Data Sharing
Network
(SDMX, DDI)

12. The Data Sharing Network
• Enables data exchange at all levels
• Creates a common technical language across data owners,
statisticians, analysts, academics, journalists, etc.
• Includes methods and tools to interpret and understand the
data, their reliability and their exact meaning (metadata)
• Enables data harmonization and integration within and
across countries and regions
• IT systems will provide the technological infrastructure
supporting the network

13. The FENIX Data Sharing Network
Global
• FAOSTAT
• AMIS Statistics
• AMIS Policy
• ADAM
• FAO-WHO GIFT
• Voices of the Hungry
• Rural Livelihood
Monitoring
• Global Foot & Mouth
Disease Monitoring
• InfoSys for Forestry
Regional
• UEMOA (RegionSTAT)
• UN-ECA
• AfricaFertilizer
• Regional Initiative on
Water Scarcity
National
• CountrySTAT
• 17 countries in
Sub-Saharan
Africa
• UAE
• Bhutan
• Application of mobile
technologies in
• Tanzania for
CountrySTAT
• Nigeria for AMIS
Data Exchange