1. South Africa Case Study Update Matile Malimabe (matilem@statssa.gov.za) Executive Manager: Standards Acting Executive Manager: Data Management & Technology Joint UNECE/Eurostat/OECD Work Session on Statistical Metadata (METIS) Lisbon, Portugal 11 – 13 March 2009

2. Contents  Background  The DMID Project  Current Status  Metadata Management Tools  Conclusions

3. Background to Statistics South Africa  Statistics South Africa is a national government department accountable to the Minister of Finance, regulated by the Statistics Act (No. 6 of 1999)  Legislative mandate provides for:  Promotion of coordination among statistical producers in SA  Provision of statistical advice to government departments  Liaison with the statistical agencies of other countries, and other international agencies  Vision  The preferred supplier of quality statistics  Mission  To provide a relevant and accurate body of statistics to inform users on the dynamics in the economy and society through the application of internationally acclaimed practices  For more information: www.statssa.gov.za

4. Stats SA Organizational Structure  TBD

5. The DMID Project  DMID stands for Data Management and Information Delivery  A business improvement initiative with the following goals:  Improve the way originating units develop, structure, capture and store data and metadata according to common standards and procedures  Facilitate better data sharing between the various originating units  Extend the analysis and comparability of data  Improve access and use of data, and version control  Central storage of data and metadata is key in improving the quality of, and access to, authoritative and reliable statistical information  Adoption of corporate standards for capturing, storage of, access to and management of data and metadata throughout the statistical value chain, from needs analysis to dissemination

6. The DMID Project (cont.)  Metadata Management  Metadata categories (5)  Definitional, Operational, System, Dataset, Procedural/Methodological  Standardisation  Enhance and provide consistent access to authoritative and reliable statistical data, building block for integration, Necessary precondition for analysis, data conflation, quality assessment, and methodological evaluation  Centralisation  Led to the development of the End to end Statistical Data Management Facility (ESDMF)

7. The DMID Project (cont.)  TBD

8. The DMID Project (cont.)  TBD

9. Current Status  In the third year of originally planned 3 year schedule  Development was contracted to a local software development company  Received 17 out of 53 planned tools  Some tools support tools that the user would use (internal)  Other tools are visible to the users (external)  Currently reviewing strategies to proceed towards the ESDMF

10. Metadata Management Tools  Access Control Tool  provides a central point for creating and managing access to all ESDMF tools  Metadata Registration Tool  provides a central registry for the registration, revision and relating of administered items:  Data Element Concepts, Data Elements, Classifications  Metadata Browser  enables users to browse and search for administered items in the central registry  Quality Tool  enables users to setup the quality framework that is based on the South Africa Quality Assurance Framework (SASQAF) document, and forms the foundation for  The assignment of Quality Indicators to Surveys, the capturing of Quality Metadata for a Survey and conduct Quality Assessment of a Survey  ESDMF Reporting Tool  allows users to generate static and ad hoc reports based on the data and metadata generated by the various ESDMF tools  Survey Metadata Capture Tool  manages the metadata for a survey on series and instance level

11. Metadata Management Tools High Level Overview

12. Access Control Tool Overview

13. Access Control Tool Login to the Access Control Tool

14. Metadata Registration Tool Overview

15. Metadata Registration Tool Metadata Registration Process Based on ISO 11179 Information Technology Metadata Registries (MDR)

16. Metadata Registration Tool Overview

17. Metadata Registration Tool View a Steward’s Work List

18. Metadata Browser Tool Overview

19. Metadata Browser Tool Screen Capture

20. Quality Tool Overview

21. Quality Tool Overview

22. Quality Tool Overview Surveys with assigned quality indicators

23. Reporting Tool Overview

24. Reporting Tool Overview

25. Survey Metadata Capture Tool Overview

26. Survey Metadata Capture Tool Overview

27. Survey Metadata Capture Tool Overview

28. Conclusions  Metadata Systems  We all wrestle with similar problems  Solutions  Collaboration  Source code  Knowledge on What to do  Knowledge on How to do

29. Thank You!