1. System Overview Training on the use of the new countrystat
FENIX
System Overview
Training on the use of the new countrystat

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

3. The Issue of Limited Access to Data
Lack of data and metadata harmonization
Poor data dissemination systems/mechanisms
Restrictive or unclear data policy
Poor communication and awareness
Need to increase availability of data and create a network of national and international stakeholders to avail data and expertise

4. What to do Avail data as “public good”
Make a joint effort between the concerned stakeholders to:
define the requirements for data content, analysis and dissemination
produce consistent and reliable data
Ensure that the IT platform is designed to meet the above requirements
Improve and intensify communication using all available means ( s, Skype calls, social media , screen-sharing tools, etc.) to help raising/solving problems and to share views and experience

5. Institutional Framework
The 3 Key Dimensions
Institutional Framework
(Steering committees of key stakeholders)
Political dimension
Data policy
Statistical governance
Technical dimension
Data sharing
network
Definition of procedures and tools
Data harmonization
(statistical methods)
Data availability
(IT platform)

6. Focusing on the IT aspects
Based on Open Source software; no licensing constraints and full redistribution rights
Service-Oriented Architecture (SOA) - Extensible: ability to plug-in new functionalities and applications
Designed to facilitate data sharing between countries, regions and international organizations through web services (APIs)
May support different data collection/upload methods (e.g. online data entry; uploads from csv/xls files; automated load of attachments; collection of data through smartphones
Ability to handle databases, geospatial data (as remote sensing, GIS layers, etc.) and text
Advanced analytical capacities with the embedded “R” statistical package

8. The Global Data Sharing Network
help data exchange at all levels
create a common technical language across data owners, statisticians, analysts, academics, journalists and other users
provide keys to interpret and understand the data, their reliability and their exact meaning (metadata)
concrete initiative toward a data harmonization and integration process within and across countries and regions
partner agencies will be encouraged to adopt data and metadata standards to ensure compatibility with other network resources
IT systems will provide the technological infrastructure supporting the network

10. Open Source Technology Used by FENIX