-The New CountrySTAT aims at establishing an integrated network of national and international agencies for sharing knowledge and data, primarily on food security, nutrition and agriculture

1. CountrySTAT TRAINING
Monday, February 20, 2017
TRAINING OBJECTIVES

2. - The New CountrySTAT aims at establishing an
integrated network of national and international
agencies for sharing knowledge and data, primarily
on food security, nutrition and agriculture
- The new technology is based on the FENIX
platform, implemented for the new FAOSTAT
system, and for CountrySTAT
INTRODUCTION

3. The “Network” is based on four main components:
a) the technological means to manage and share
data
b) the institutional framework for establishing
partnership agreements and data governance
c) the statistical and sector-specific know-how to
guarantee the data quality
d) the knowledge required to develop simple and
complex analyses using available data
INTRODUCTION

4. • a) IT :
Introduction to FENIX Administrative Tools
Comprehensive process for upload data and metadata to
CountrySTAT
Managing Pages of CountrySTAT site (Home, About, Key
Indicators and Contacts)
TRAINING OBJECTIVES

5. • b) Institutional Framework :
 Institutional Framework and Key National Structures of CountrySTAT
(the CountrySTAT National Secretariat and the CountrySTAT
Technical Working Group)
 CountrySTAT approach results from a collaborative effort by members
of a network of national and international institutions who make official
data available to be uploaded to the system on a regular basis
 CountrySTAT is the effort of a community rather than the output of
one organization. This results in a system that is nationally owned
and managed
 CountrySTAT Partnerships
TRAINING OBJECTIVES

6. • c) Statistics module :
Concepts, definitions, classifications
Structure of data in tables and creating tables
Data Quality
Metadata-
TRAINING OBJECTIVES

7. • d) Analyses :
Easily comparison among different indicators
Visualization tools (tables, maps, charts, etc)
Double filtering
Metadata to retrieve tables
TRAINING OBJECTIVES

8. 20/02/2017
Statistics Division
THANK YOU