SCAN ICT MOZAMBIQUE

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SCAN - ICT MOZAMBIQUE

• MECHANISM AND SOURCES FOR DATA COLLECTION
• Presented by Francisco Mabila
• Eduardo Mondlane University
• mabila_at_uem.mz
• http//www.uem.mz

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THE SCAN FRAMEWORK

• BACKGROUND AND CONTEXT
• GENERAL OBJECTIVES
• - Undertake a Baseline Study through
  desk research and primary research
• - Develop and implement a system of data
  collection so that the country's Scan
  profile could be updated regularly
• PROJECT DELIVERABLES
• - Scan Country Profile Report (Data
  Analysis and Methodological issues)
• - Scan website (linked to other Scan countries)

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MOZAMBIQUE COUNTRY PROFILE

• Located in Southern Africa
• Area 780,000 km2
• Population 18 mil. Inhabitants
• GDP per capita USD240
• Iliteracy Rate 53,6 (2003)
• Poverty Rate 54,1 (2003)
• Teledensity 0,5 (2002)
• E-mail Subscribers 65,000 (2002)

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MAJOR CHALLENGES IN ICT DATA COLLECTION IN
MOZAMBIQUE

• AT PRIMARY SOURCE LEVEL
• - Lack of ICT awareness
• - Iliteracy
• - Geographical barriers
• - Poor communication infrastructure
• - Language diversity
• - Inquiries fatigue
• - Limited financial resources

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MAJOR CHALLENGES IN ICT DATA COLLECTION IN
MOZAMBIQUE

• AT PRIMARY SOURCE LEVEL (Cont.)
• - Cultural aspects at family level
• - Role of local Govt (responsiveness
  higher in rural areas than in urban)

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MAJOR CHALLENGES IN ICT DATA COLLECTION IN
MOZAMBIQUE

• AT SECONDARY SOURCE LEVEL
• - No institutional culture of keeping
  statistics
• - No statistics available
• - Little and/or unsystemised data
• - Lack of standards (indicators)
• - Lack of skills
• - Lack of ICT awareness
• - Existing information not published

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MAJOR CHALLENGES IN ICT DATA COLLECTION IN
MOZAMBIQUE

• LEGAL ASPECTS
• - People are only obliged to respond to
  inquiries conducted by the National Institute
  of Statistics or under creditation
• - Law protects right for privacy

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NOW, WHAT DO?

• MAJOR RECOMMENDATION
• The need to institutionalise the Scan process is
  an imperative, i.e., Scan-ICT MUST be transformed
  from the current project-oriented approach into a
  national program.

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WHY?

• ADVANTAGES
• Ensure continuity of the process
• Reduce donor dependency
• Build ownership
• Increase flexibility

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SUGGESTED MODEL

• COORDINATION UNIT
• National Institute of Statistics
• National network of Scan focal points
• Eduardo Mondlane University
• ICT Policy Commission

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SUGGESTED MODEL (Cont.)

• COMPOSITION OF THE NETWORK
• Education institutions (schools and universities)
• Public institutions
• Private Sector

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SUSTAINABILITY OF THE MODEL

• AT TECHNICAL LEVEL
• Human Resources capacity building program at all
  levels required
• Adequate organisational aspects
• Strong coordination among all parties
• ICT awareness campaigns

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SUSTAINABILITY OF THE MODEL (Cont.)

• AT FINANCIAL LEVEL
• Govt. must allocate necessary budget
• Selling services (consultancies products)
• Other sources (e.g. donor funding)

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SUGGESTED MODEL (Cont.)

• CURRENT SITUATION
• Discussions on governance issues of the model
  going on
• Software application for data collection in
  testing phase
• (Software will allow online update by selected
  institutions)

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SUGGESTED MODEL (Cont.)

• THE WAY FORWARD
• Have final approval from the Govt
• Integration of Scan in the model
• Harmonisation of indicators
• Design of action plan

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THANK YOU!!! http//www.scan-ict.uem.mz
http//www.uem.mz mabila_at_uem.mz