2016 SDMX Experts meeting, 17-20 October 2016, Aguascalientes, Mexico. More information at: http://www.oecd.org/std/sdmx-expert-group-meeting-2016.htm

1. SDMX Implementations in
World Bank
Siddhesh Kaushik, World Bank
SDMX Experts Group (17-20 October 2016, Mexico)

2. Introduction
• Development Economics (DEC)
• Development Economics Data Group (DECDG)
• Development Indicators and Data Services
• Advisory Services and Economic Statistics
• The Survey Unit

3. DECDG Products & Initiatives
• Key Products
• World Development Indicators (WDI)
• International Debt Statistics (IDS)
• Micro data Library
• Education, Health, Poverty and Gender Stats
• World Integrated Trade Solution (WITS)
• Initiative
• Open Data
• International Comparison Program (ICP)
• International Household Survey Network (IHSN)
• SDMX, DDI
• Big Data
• Data Revolution and SDGs

4. Data Exchange Current State
• Data Exchange Sources
• PDF’s
• Excel/CSV
• Data download from various websites
• Online collection tools
• SDMX-ML

5. SDMX Implementation
• Statistical Domains
• Multi domain – World Development Indicators (WDI)
• External Debt – Joint External Debt Hub (JEDH), Debtor Reporting System (DRS)
• Education – Education Stats (EdStats)
• Trade - World Integrated Trade System (WITS)
• National Accounts – Quarterly GDP
• SDMX Versions
• Version 1
• Version 2
• Version 2.1
• DSD Types
• Time Series
• Cross Sectional data

6. External Debt
JEDH: BIS,IMF,&OECD—External debt data & selected foreign assets from international creditor/market and debtor/national sources.
DRS: Loan by loan data from countries

7. Trade
WITS: Daily update of UN COMTRADE data for eight product nomenclature

8. Trade

9. Education
EdStats: Update of data from UIS

10. WDI
• Download of WDI data in SDMX compact format
• Download as Generic SDMX for remaining 56 databases

11. Work in Progress and Plans
• Automating data pull from SDMX Web Services by
• Systematic implementation of SDMX using common software
• Modular approach (Pull, Map, Store)
• Common SDMX tool across statistical system
• Phased implementation
• Automatic update (in place for IMF)
• Upload of SDMX-ML file to system
• Manual pull (need basis)
• Future plan
• Enable SDMX-ML Web Services for WDI and other time-series data

12. Data Management Data Dissemination
High Level Architecture
Controller
SDMX Pull and Read
Mapping
Database connector
RDBMS OLAP cubes
Mapping
files
Connection
details
Source and
schedule

13. SDMX Key Benefits
• Overall
• Common tools bring down cost of operation
• Debt:
• Improvement in data quality with better ability to track loans
• Faster data input
• Trade:
• Daily update of large amount of data
• Ready made connectors
• Education
• Drastic reduction in time to update data
• WDI
• Faster update of data

14. Thank you
Gracias