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SHARING DATA: Lessons from IOM’s Data Sharing Mechanism in Eastern Europe and Central Asia
UNECE Regional Workshop on international migration statisticsGeneva, 4 – 6 December 2007
Jobst KoehlerResearch 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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IOM 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.
“General Model”: What is it?
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IOM PublicationsMain 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
“General Model”: how does it work?
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Organization
Main elements at the regional level:
• Efficient electronic exchange mechanism
• Organizing regional workshops
• Addressing national needs through training modules
“General Model”: how does it work?
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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
Applying the General Model: DSM in EECA
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Potential New Areas of Research
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
Lessons from DSM: “Know your Counterpart”
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Training ObjectivesLessons from DSM: “Work with your counterpart”
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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Training OutputsLessons from DSM: “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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• Identify the national demand for indicators
• Prioritize and agree on a minimal set of statistical indicators
Provides the basis for regular reporting
Lessons from DSM: “Know your Needs”
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Tools
IT and Workflow assessment of the different stages of data management:
• Collection• Storage• Aggregation• Dissemination
Targeted IT upgrading.
Lessons from DSM: “Know your Gaps”
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Tools
• Training and “Train the Trainer” courses
• Encourage the process of self-learning through e-learning
• Raise training capacities of government officials
Lessons from DSM: “Know your Skills”
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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
Interstate Exchange and Regional Dialogue
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Tools
Regional Dialogue:
• Technical meetings
• Thematic meetings
• Study Tours
Interstate Exchange and Regional Dialogue
Interstate Exchange and Regional Dialogue
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ToolsDSM in comparative perspective
Interstate Exchange and Regional Dialogue
Data Sharing Mechanism (DSM) in Eastern Europe and Central Asia (CIS
countries)
Statistical Information System on Migration in Mesoamerica (SIEMMES
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.
To monitor migration movements in, out and among Central America national and facilitate regional migration-related policy making.
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
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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ToolsDSM in comparative perspective
Interstate Exchange and Regional Dialogue
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 records, population censuses and household survey.
Arrival and departure records, national population censuses and household surveys.
Access to Data
Restricted to participating states. Selected data and information to be made public
Public
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Tools
Data-sharing is particularly an effective tool when:
• resources are limited and vary among states
• Some data exists
Conditions for success:• Data-sharing process needs to be integrated
in the administrative structure• Commitment at the State’s decision-
making level
Conclusion: how to make data-sharing effective?
Interstate Exchange and Regional Dialogue
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