UNFPA Africa Region’s experience in using IMIS based REDATAM for the dissemination of census data United Nations Regional Seminar on Census Data Dissemination.
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Transcript UNFPA Africa Region’s experience in using IMIS based REDATAM for the dissemination of census data United Nations Regional Seminar on Census Data Dissemination.
UNFPA Africa Region’s experience in using
IMIS based REDATAM for the dissemination
of census data
United Nations Regional Seminar on Census Data Dissemination and
Spatial Analysis, Nairobi,14-17 September 2010.
Boubacar Sow, Ph.D.,
Technical Adviser,
SRO/WCA/Dakar
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Outline of the presentation
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What is REDATAM?
Characteristics of REDATAM
The Vision of IMIS
Outputs and Products
Benefits of IMIS
Implemenation of IMIS in SSA
Conclusions
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What is REDATAM+SP? (1/3)
• REDATAM acronym for REtrieval of
census DATa for small Areas by
Microcomputers.
• It was originally (early eighties) developed
at CELADE (Latin American Demographic
Center/Population Division of ECLAC,
United Nations) to promote access to
census micro data.
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What is REDATAM+SP? (2/3)
It’s a database management tool that
administrates large volumes of census It
was developed to promote access to
and analysis of census and other data
for informed decision making for
sectoral and local development
programmes and policies
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What is REDATAM+SP? (3/3)
How?
– by facilitating the NSO dissemination
of microdata (taking into account
confidentiality issues), graphical
appearance, maps & web platform
– by providing the end users with a user
friendly and fast software for
processing large volumes of data
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Characteristics of REDATAM (1/2)
•Administrates Hierarchical databases
•Data stored in internal format (no access
to individual or household records)
•User friendly software
•Highly Compressed database
•Fast data processing
•Multisectoral databases (combining
several databases)
•User can define geographical area to be
processed
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Characteristics of REDATAM (2/2)
• Exportation of results to other software
(Excel, ASCII, GIS)
• Thematic mapping & Graphs
• External data can be accessed
• On-line Help
• Web Applications development
• Access on-line databases and
processing (Redatam Web Server)
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Create
Process
GINI module
WebServer
REDATAM+SP
FAMILY
EIM & EIF
Demographic modules
xPlan
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For further information visit :
www.cepal.org/celade
You can download Redatam+SP for free
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The Vision of IMIS
A reliable one-stop shop national data
source with multiple purposes including
generation of indicators for monitoring
development programmes and the MDGs
Outputs and products
• Integrated statistical database
• Web-based database (intranet/internet)
• Set of relevant indicators at national and
decentralized levels
• Large number of partners using the database
(rapid and easy access)
• By-products :
– harmonization of methodologies of data
collection, processing and analysis
– Preservation and dissemination of data.
IMIS BENEFITS
1/2
• easy and rapid access to voluminous micro
and macro data
• compatibility with most usual software
• export to dissemination software such as
DevInfo
• Security : data stored in compressed
encrypted format
IMIS BENEFITS
2/2
• Original file no longer needed, hence removing
the fear to share original data
• Selection of universe and a combination of
geographical areas for specific analysis
• Enhancement of existing data systems
• Assistance to NIS to play its role of repository
of statistical data
IMIS partners
• SS Africa :Kenya, Cameroon, Ghana,
Mauritius , Uganda, Zimbabwe, Cap-vert,
Burundi, Gabon, Central African Republic,
Burkina, Eritrea, Uganda, Bénin,
Madagascar , Niger, Comoros, Rwanda,
Sierra Leone, Tanzania, Ethiopia, Guinée
Bissau, Malawi, Sao Tome, Botswana, The
Gambia, ….
• Regional Institutions : CELADE, IFORD,
ADB, ENSEA, ISSP, RIPS, AFRISTAT
Implementation of IMIS
• Cameroon
– http://www.statistics-cameroon.org
• Uganda
– http://www.ubos.org or
http://celade.cepal.org/ubos/
• http://groups.google.com/group/Redatam
Africa/
• etc
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Conclusions
• Technology is facilitating the expansion and
diversification of use of census data.
• But policy decisions remain a major constraint
in expanding access to census data.
• Finally, there is a need to support linking of
census data with other complementary sources
through.
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