Data Integration Strategy: Case Study of Thai NSO Mr'Angsumal Sunalai Deputy Secretary General, Nati

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Data Integration Strategy Case Study of Thai
NSOMr.Angsumal SunalaiDeputy Secretary
General, National Statistical Office
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Outline

• Data Categories
• National Statistical Office (NSO) Mission
• Data Integration Strategy

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1.Data Categories

• National Account
• Monetary and Fiscal
• Agriculture
• Manufacturing, Mining and Energy
• Tourism, Hotel and Restaurant
• Trade, Commerce and Services
• Transportation, Communication and Logistics
• Science and Technology

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1.Data Categories (cont)

• 9. Population and Government (Administrative)
  Politics
• 10. Education
• 11. Health
• 12. Labor (Employment)
• 13. Security, Crime and Justice
• 14. Social Welfare
• 15. Natural Resources and Environment
• 16. Information and Communication Technology

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NSO Mission

• To compile and disseminate statistical data from
  all statistical agencies.
• To provide recommendations on statistical-related
  matters.
• To provide completed, standardize and reliable
  statistics for effective decision-making,
  monitoring, and research.
• To serve as the statistical data bank of the
  country.

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Data Integration Strategy
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Standard

• statXML
• a set of XML schema that enables agencies using
  any platform in any location to exchange data
  over the Internet. Using statXML, government
  agencies now have a standard method to exchange
  data in common terms and define and register
  business processes.
• NSO is in the second phase to improve statXML to
  comply with SDMX and TH e-GIF

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Standard

• TH e-GIF
• TH e-GIF defines the technical policies and
  specifications governing information flows across
  governments. They cover sets of recommendation
  related to system development, data naming
  standard, data integration, and technical
  standards.

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Data Harmonization

• Harmonizing data improves the consistency and
  comparability of data across information systems
  with the goal of reducing data redundancy and
  inconsistencies and improving the quality and
  format of data.
• The harmonization process
• Clarify
• Identify duplicate data storage or conflicting
  representations of the same information and
  provides the information needed to integrate data
  systems.
• Compare
• Compare meaning and format of related data
  elements across multiple resource
• Design
• Design rules and data naming.
• E-R Diagram
• Design a conceptual data model.

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ER Diagram
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Integration by Web Services

• NSO (Data Provider)
• Population Survey classified by local
  administration units.
• DLOC (Data User)
• DLOCThe Office of Decentralization to Local
  Administration Commission
• Allocate budget by using population survey by
  NSO. Data exchanged through Web Services by
  using statXML as Data Standard

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Web Services
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NSO Web Services