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UNECE Regional Workshop on
international migration statistics
Geneva, 4 – 6 December 2007
SHARING DATA: Lessons from
IOM’s Data Sharing Mechanism in
Eastern Europe and Central Asia
Jobst Koehler
Research Officer,
IOM
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Why sharing data?
Challenges to obtain data for migration management:
•
different levels of development in infrastructure
•
different practices of data collection
•
different understanding of migration-related data
•
variation in human and financial capacities
There is a need for a “bottom-up” approach
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Sharing data: What’s is in a name?
Data-sharing is a « bottom-up » process to improve data
that is :
Democratic
• States determine own indicator
Flexible
• States determine own pace
Simple
• Share available data
• No major financial investments
Convergence rather than uniformity is the aim.
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IOM and International Data-Sharing
IOM assisted data-sharing processes in different regions:
• Statistical Information System on Migration in
Mesoamerica (SIEMMES)
• Caribbean Community (CARICOM): Collection and
Sharing of Migration-Related Data in the Caribbean
But most relevant for meetg:
• Data-Sharing Mechanism (DSM)) in Eastern Europe
and Central Asia /The Programme for the Creation of
a General Model for Collection, Application and
Sharing of Migration-Related Data (“General Model)
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“General
What is it?
IOMModel”:
Research
An approach to data management at national and
regional level (applicable to any region) that is based
on the premise that:
• Level of development in migration data management
varies
• Certain data exists but is not shared within and
between states
• Producers and users should be connected.
Dual track approach at the national and regional level is
needed.
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“General Model”: how does it work?
IOM Publications
Main elements at the national level:
• Establishing a network of core institutions
• Mapping out existing national statistical
infrastructure
• Establish an agreed minimum set of 5-10
aggregated overall data indicators plus
documentation
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“General Model”:
how does it work?
Organization
Main elements at the regional level:
• Efficient electronic exchange mechanism
• Organizing regional workshops
• Addressing national needs through training
modules
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Applying the General Model: DSM in EECA
DSM was a pilot test of the Programme for the Creation of a
General Model for Collection, Application and Sharing of
Migration-related Data, developed at IOM-OSCE workshop at
Prague, 2002
Ended in 2006
Funding :OSCE-ODIHR, Danish Government, IOM and PRM
Consistent Participants: Ukraine, Republic of Moldova,
Kazakhstan
Publication: “Sharing Data: Where to Start”, edited by Folden,
Manke and Mortensen
www.dsm.net
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Potential
of Research
Lessons
fromNew
DSM: Areas
“Know your
Counterpart”
Creating a national network of institutions
producing migration data:
• Choose a focal point from each agency and
ensure continuity in the event of staff rotation
• Nominate a national coordinator and contact
point for international inquiries
• Link data producers and users in a single
national network
• Legislative framework to make network
sustainable
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Lessons from
DSM: “Work
with your counterpart”
Training
Objectives
Establishing an Inter-Ministerial Working
Group (IMWG) to prioritize activities:
• Include decision-makers
• Create a clear structure and mandate for
IMWG
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LessonsTraining
from DSM: Outputs
“Know Your Data”
• Mapping out existing infrastructure
(sources and types of data)
• Make meta-data simple and
comprehensive for policy-makers
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Lessons from DSM: “Know your Needs”
• Identify the national demand for indicators
• Prioritize and agree on a minimal set of
statistical indicators
Provides the basis for regular reporting
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Lessons from DSM:
“Know your Gaps”
Tools
IT and Workflow assessment of the
different stages of data management:
•
•
•
•
Collection
Storage
Aggregation
Dissemination
Targeted IT upgrading.
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Lessons from DSM:
“Know your Skills”
Tools
• Training and “Train the Trainer” courses
• Encourage the process of self-learning
through e-learning
• Raise training capacities of government
officials
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Interstate Exchange
and Regional Dialogue
Tools
Data Base and Web Portal (DSM) is unique:
• New software created for the end-user after the
review of ten regional based databases.
• DSM allows for several data-collection
methods: through focal points or user-prompt
mode, on paper; or via Excel charts.
• More than just data, a tool for policy and legal
exchange (e-library).
• Hierarchical data access ensures data
ownership
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Interstate Exchange
and Regional Dialogue
Tools
Regional Dialogue:
• Technical meetings
Interstate Exchange and Regional Dialogue
• Thematic meetings
• Study Tours
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DSM in comparative perspective
Tools
Data Sharing Mechanism (DSM) in
Eastern Europe and Central Asia (CIS
countries)
Aim
To serve as a tool for migration-related data
collection, application and exchange in the
region. Mechanism is also used to share
legal and policy information on migration.
Type of
Data
Based on official data, data on non-nationals
in total population, entries and exits of
foreigners, work permits, applications for
asylum and decisions
Statistical Information
System on Migration in
Mesoamerica (SIEMMES
To monitor migration
movements in, out and among
Central America national and
facilitate regional migrationrelated policy making.
Interstate Exchange and Regional Dialogue
International migration flows
(arrivals and departures by sex,
border station, age and
nationality). Extra-regional
emigration, population impact
on destination countries and
countries of origin, immigration
in the region, remittances.
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DSM in comparative perspective
Tools
Data Sharing Mechanism
(DSM) in Eastern Europe and
Central Asia (CIS countries
Statistical Information
System on Migration in
Mesoamerica (SIEMMES)
Sources of
Data
Registers, entry and departure
Arrival and departure records,
records,
population
censuses
and national
population censuses
Interstate
Exchange
and Regional
Dialogue
household survey.
and household surveys.
Access to
Data
Restricted to participating states.
Selected data and information to
be made public
Public
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Conclusion:
Tools
how to make data-sharing
effective?
Data-sharing is particularly an effective tool
when:
•
resources are limited and vary among
states
•
SomeInterstate
data exists
Exchange and Regional Dialogue
Conditions for success:
•
Data-sharing process needs to be integrated
in the administrative structure
•
Commitment at the State’s decisionmaking level
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