1. SDMX AND DATA DISSEMINATION SDMX Training BANK INDONESIA 16-18 SEPTEMBER 2015 YOGYAKARTA, INDONESIA

2. Session Objectives At the end of this session you will: Have successfully published data to a data dissemination system and will have performed the following functions: Validated the data Made the data available to the dissemination system Discovered and queried the data in the dissemination GUI Roles You validate and load data into the dissemination database The trainer will make the data discoverable by linking the data to topics in a topic scheme

3. Data Dissemination: Registry Metadata structure (dimensions, attributes, measures), concepts, code lists Data Structure Definition Dataflow data provider Data Location Provisioning Metadata Provision Agreement Registration Constraint (Actual Content) data discovery Category Scheme Constraint (Consolidated Actual Content) What is the single Artefact that a data discovery system is trying to locate Dataflow

4. Data Publishing: Processes Validate Data Publish Data Data Loading Obtain Data Structure Build Database Tables Load Data Read Data Validate Data v “sweeper” directory of the dissemination load system Data Publishing v Dissemination database first load of data structured by this DSD yes no v Registry Structures

5. Data Discovery and Query: Processes Visualise Data Discovery Metadata Build SDMX Queries Data Discovery and Query Concatinate Responses Data Retrieval and Visualise Process Discovery Selections Process Query Options Build Query Object Query Data Sources Locate Data Sources Visualise Data

6. Data Discovery and Query: Processes Visualise Data Discovery Metadata Build SDMX Queries Data Discovery and Query Concatinate Responses Data Retrieval and Visualise Process Discovery Selections Process Query Options Build Query Object Query Data and Metadat a Sources Locate Data Sources Visualise Data

7. Data Discovery by Topic Category Scheme Categories UNECE Classification of International Statistical Activities Dataflow Financial Sector Environment Education Health Economic Policy and Debt Infrastructure Labor and Social Protection Poverty Private Sector and Trade Public Sector Immigration Population Education Millenium Development Goals Census Direction of navigation of structural metadata

8. Data Discovery by Organisation Data Provider Data Provider Scheme Provision Agreement World Bank OECD UNESCO Eurostat World Bank Financial Sector Environment Education Health Economic Policy and Debt Infrastructure Labor and Social Protection Poverty Private Sector and Trade Public SectorOECD Immigration Population UNESCO Institute of Statistics Education Millenium Development GoalsEurostat Census DataFlow Direction of navigation of structural metadata

9. Data Discovery by Concept Data Structure Definition Concept Schemes Concepts Data Flow Financial Sector Environment Education Health Economic Policy and Debt Infrastructure Labor and Social Protection Poverty Private Sector and Trade Public Sector Immigration Population Education Millenium Development Goals Census Direction of navigation of structural metadata

10. Questions?