"fenix system overview training on the use of the new countrystat "
TRANSCRIPT
FENIXSYSTEM OVERVIEW
TRAINING ON THE USE OF THE NEW COUNTRYSTAT
Introductory ConsiderationsData is a renewable resource, created every day by many organizations and individuals
There is a gap between the produced data and its availability
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
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 (emails, Skype calls, social media , screen-sharing tools, etc.) to help raising/solving problems and to share views and experience
The 3 Key DimensionsInstitutional Framework
(Steering committees of key stakeholders)
Data availability
(IT platform) Dat
a har
mon
izatio
n
(stati
stica
l met
hods
)
Statistical governanceDat
a pol
icy
Definition of procedures and tools
Political dimension
Technical dimension Data sharing network
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 email 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
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
Open Source Technology Used by FENIX