1. USE OF TECHNOLOGIES FOR DATA COLLECTION, CAPTURING, ARCHIVING AND DISSEMINATION THE ETHIOPIAN EXPEREINCE

2. Country Profile CSA History CSA’s Role & Data Production Data collection, Capturing, Archiving and Dissemination in the Old Good Days The Need for Improvement Central Databank Project Framework Achievements through the Improvement Process Achievements Summary Outline

3. Situated on the horn of Africa between 3 and 5 degrees north latitude and 33 and 48 degrees east longitude A total area of 1.1 million square kilometers Administratively sub-divided into nine regional states and two city administrations. The topographic features of the country range from the highest peak at Ras Dashen, (4,550 meters above sea level), down to the Afar depression at 110 meters below sea level. The climatic condition of the country varies with the topography, ranging from 10 to 47 degrees Celsius. Country Profile

4. A home to about 80 ethnic groups that vary in size from less than 1000 to more than 18 million persons. Total population 80 Million 84% live in the rural areas. The second largest country in Africa in terms of population size with diversified cultural, linguistic and ethnic compositions. Agriculture comprises the main sector of the Ethiopian economy. Accounts for almost 50 percent of the gross domestic product Provides employment for 80 percent of the population Generates roughly 90 percent of the export earnings Supplies approximately 70 percent of the country’s raw material to secondary activities. Country Profile

5. 1960: use of statistics becomes a regular government activity Addis Ababa conference of the African Statisticians initially Ministry of Commerce, Industry and Tourism. 1963: autonomous organization called Central Statistical Office (CSO) Reporting to the Ministry of Planning and Development 1964: Transferred to the Planning Commission 1972: CSO reestablished, accountable to the Planning Commission 1989: restructured and renamed Central Statistical Authority (CSA) Moved under the umbrella of the Council of Ministers. 1996: transferred to the Ministry of Economic Development and Cooperation 2001: transferred to the Ministry of Finance and Economic Development. 2005: renamed Central Statistical Agency (CSA) CSA’s History

6. mandated to conduct socioeconomic surveys and compile national statistics from administrative records Coordinate the national statistical system (NSS) of the country and be involved in statistical capacity building activities Central data source for the country. Since the launching of its Integrated Household Survey Program (IHSP) in the 1980’s, the agency has been able to conduct about 11 different surveys annually The majority of the CSA’s survey operation time is more dedicated to the agricultural statistics namely, cultivated area, production, livestock, agricultural practices..etc. Annual, bi-annual and ad-hoc survey programs: Livestock, Agricultural Industry Household Income/Expenditure, Welfare Monitoring, Price, Labour Force, DHS etc. Population and Housing Censuses (1984, 1994,2007) Agricultural Census (2002) Consumer Price Index, Price Data, and other indicators CSA’s Role & Data Production

7. D ata collection nothing but paper based The IBM series 12k CPU HP 3000/Series 44 system processor unit with 1MB memory A Stand alone PC system was used until 2004 at the CSA and the resource sharing and efficient communication was a series problem. Utilization of 1.44 MB floppy diskettes was considered the efficient means of transferring files or documents among professionals. In addition, there was no any centralized management of the system which was hindering the data security and management system. Little attention was given for meta data documentation There was no integration between Micro data and meta data Data collection, Capturing, Archiving and Dissemination in the Old Good Days

9. Access to data was difficult and poor dissemination system Utilization of data was difficult because of poor documentation No electronic method of dissemination Less consideration in utilizing international standards for meta data documentation Archiving was done in a decentralized manner => User dissatisfaction => Difficulties in maintaining institutional memory Data collection, Capturing, Archiving and Dissemination in the Old Good Days

10. Central Statistical Agency priorities: Improve data collection, management and dissemination system Effective use of ICT Better Profile for ICT and GIS activities in the Agencies Organizational Structure Initiated Central Databank Project Establishment of socio-economic database Deployment archiving and dissemination system To ensure compliance with international standards: IHSN Microdata Management Toolkit (DDI and Dublin Core) UNICEF DevInfo (SDMX, DDI, Dublin Core, ISO) The Need for Improvement

11. Strengthening of ICT framework Take full advantage of new technologies for data management: GPS, Satellite Imageries, PDA, Scanners Internet, DBMS, GIS, and electronic methods of data archiving and dissemination Provision of data also involves: Harmonizing and integrating statistical data, Filling the gap between data produced and data available, Laying down efficient ICT infrastructure, Improving the quality and comparability of data, Addressing the challenges of data and metadata exchange Adoption of standards available in data management The Need for Improvement

12. In general, improvement of the CSA’s internal ICT capacity focused on the following: Look forward for new tools to improve data capturing Development of an integrated Central Data Bank of survey and other data as well as creating Ethiopian Socio-Economic Database for basic indicators; Development of database management systems; Strengthening the Local Area Network (LAN) and The Need for Improvement

13. Development of a Wide Area Network (WAN) to connect branch offices; Web Site Development; CD_ROM publishing; Comprehensive Program of Documentation of existing and new data especially related to socio-economic indicators; Utilization of GIS for Geo referencing, spatial data analysis and other referencing of new and existing data.; Appropriate training and capacity building; The Need for Improvement

14. Central Databank Project Framework DATA PRODUCTION Planning, collection, cleaning, processing Quality Control DATA ARCHIVING Conversion, Packaging, Confidentiality DATA DISSEMINATION Publish Traditional Media, Multimedia, Web ACCESS metadata, data & documentation + research tools ANALYSIS Retrieve data for analysis Online Analysis Technical Support COLLABORATION Disseminate and share knowledge, user- producer dialog, feedback HARMONIZATION Standard formats, comparability, multilingual USERS / PRODUCERS NEEDS HARDWARE Server, Workstations, Laptops, CD/DVD, Scanners, Printers, Backup, Tools SOFTWARE OS, DBMS, Development, Web, Multimedia, Office, Statistics, Security TELECOMS Intranet, Internet, Connectivity, LAN/WAN, Security SPECIALIZED SOFTWARE AND GUIDELINES Toolkit, DevInfo,WinISIS, DDP, Nesstar, CSPro, XML, IT CORE ARCHITECTURE PROJECT MANAGEMENT ICT UNIT TRAINING DATA TOOLS DATA MANAGEMENT FRAMEWORK

15. Central Databank Project Framework

16. Data Capturing-GPS The CSA, realizing the problems mentioned and the great interest to overcome this problem moved towards utilizing the handheld GPS (Garmin 72) for its area measurement after a serious of testing on its application in the Ethiopian landscape. Achievements through the Improvement Process

17. Data Capturing-GPS

18. Achievements through the Improvement Process Data Capturing-GPS

19. Achievements through the Improvement Process Data Capturing – PDAs The system satisfies both the statistical standards’ requirements for CPI and PPI calculation and also timeliness requirements for price data users. The full deployment of PDAs to data processing time by three weeks

20.  more than 104 surveys archived with IHSN Microdata Management Toolkit  Metadata available in DDI-XML and Dublin Core formats  CD-ROM products available for these surveys and metadata and documents published on the web server for selected surveys Achievements through the Improvement Process Data Archiving and Dissemination

21. Achievements through the Improvement Process

22. The website is providing adequate information to the users Achievements through the Improvement Process Data Archiving and Dissemination

23. The EthioInfo database containing main MDG indicators is available on CD-ROMs and online; Achievements through the Improvement Process Data Archiving and Dissemination

24. The price database has been developed and made available online Achievements through the Improvement Process Data Archiving and Dissemination

25. Achievements through the Improvement Process

26. CountrySTAT is a statistical framework and applied information system for analysis and policy-making designed in order to organize, integrate and disseminate statistical data and metadata on food and agriculture CountrySTAT gathers and harmonizes scattered institutional statistical information so that information tables become compatible with each other at the country level and with data at the international level. The main objectives are to facilitate decision-maker's access to information It also helps to sustainably improve the quality, accessibility, relevance and reliability of national statistics particularly related to food and agriculture. It is an integrated information system with fast web-based interface and it is accessible from anywhere The CountrySTAT approach is based on the application of data and metadata standards of FAOSTAT and SDMX (Statistical Data and Metadata Exchange promoted by IMF, WB, UNSD, EUROSTAT, FAO, OECD, BIS and ECB) and GAUL (Global Administrative Unit Layers). Data Archiving and Dissemination Achievements through the Improvement Process

28. Where are we Heading

29. IMIS Development IMIS Conceptual Framework

30. -- Problem statement -- Vision of IMIS -- IMIS Immediate objectives -- IMIS Outputs and products -- IMIS benefits -- IMIS conceptual framework -- Scope of work

31. Problem Statement l Limited interaction between data producers and data users l Poor integration of data systems l Inadequate knowledge of existing data and information l Poor accessibility to data and Poor dissemination of information l Inconsistencies of data systems ….

32. The Vision of IMIS A reliable one-stop shop national statistical data source with multiple purposes including generation of indicators for monitoring development programmes and the MDGs

33. IMIS Immediate Objectives  To build integrated statistical databases that are complete, reliable, and consistent  To provide for a properly networked environment for sharing of data/information  To avoid replication and collection of redundant information  To provide for calculation of various development indicators from the same source

34. Outputs and products Integrated statistical database Web-based database (intranet/internet) Set of relevant indicators at national and local levels Large number of partners using the database (rapid and easy access) By-products : –harmonization of methodologies of data collection, processing and analysis –Preservation and dissemination of data.

35. IMIS BENEFITS 1/2 easy and rapid access storage of voluminous data compatibility with most usual software easy export into dissemination software such as Ethio-InInfo Security : storage of data in a compressed encrypted format

36. IMIS BENEFITS 2/2 Original file no longer needed, hence removing the fear to share original data Selection of universe and a combination of geographical areas for specific analysis Enhancement of existing data systems Assistance to CSA to play its role of repository of statistics data

37. IMIS is NOT Sector specific Ministry or Agency specific. However, it can accept specific geo-referenced data A data collection operation or a replacement of any data collection operation Rather, it is populated by data derived from information collected

38. PASSDEP GTF MDGs CCA/UNDAF/CPD ….. DATA for DEVELOPMENT SOURCES 1- Households-based operations -Censuses, Surveys (DHS, MICS, CWIQ, etc ), Baseline... 2- Routine information Systems - Health, Education, other ….. 3- Vital and registration systems 4- Socio-Cultural, Formative research 5- Other available databases

39.  CSA has an official presence on the Internet  Improved Data Capturing tools  Compliance with international metadata standards  The Central Databank has created an institutional memory  The information is more secure  Single point of access for data and documentation  Micro and macro data and metadata on CD-ROMs and Internet;  Better user/producer support through improved ICT infrastructure;  Potential new activities: metadata, data and documentation quality assurance, survey comparability and harmonization, statistical data disclosure control and confidentiality  Utilization of GIS for better decision process Achievements Summary

40. THANK YOU