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National Statistical Committee of the Republic of Belarus Specific features of the organization of interaction with respondents during the transition to.

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Presentation on theme: "National Statistical Committee of the Republic of Belarus Specific features of the organization of interaction with respondents during the transition to."— Presentation transcript:

1 National Statistical Committee of the Republic of Belarus Specific features of the organization of interaction with respondents during the transition to centralized electronic data reporting Vadim Bogush Deputy Chairman

2 2 State Statistical System in the Republic of Belarus State statistics: NSO 7 regional offices 113 district offices Minsk Brest Grodno Vitebsk Mogilev Gomel Respondents: citizens, householders, businesses, non-commercial organizations, etc Users: Society Government Regional authorities Mass media Citizens Scientific organizations International organizations

3 3 Three-tier statistical system Central office Region District Computing centers Dissemination, Publication, User support Respondents Processing, analysis Processing, analysis Software development and support Dissemination, Publication, User support Data collection, control Data collection, Control, Technical support of the respondents

4 4 Technological modernization of National Statistical Information System Modernization of telecommunication and computing infrastructure, datacenters development Novel technological approach - transparent technology for data collection and processing - centralization of statistical data processing, increased data availability - development of universal software both for respondents and statisticians - support of xml format - increased level of information security.

5 corporate telecommunication network National Data center Districs Regions Cisco Hewlett Packard MS Windows Oracle Regional Data center corporate telecommunication network Telecommunication and computing infrastructure for NSIS 5

6 6 Data collection and processing system

7 7 General description of data collection and processing Metadata subsystem -Statistical register -Classifications -Statistical indicators catalogue - Receiving center - Reports’ processing service - Certificate authorities - Operational database Databases - report data (micro data) - aggregated data (macro data) DS SU Ext. module Quest. template

8 8 Survey form TemplateTemplate Description of form structure Description of metadata Description of form structure Description of metadata ControlsControls Control description SU from statistical register SU of the same type territorial authority type of submission (electronic or paper) SU from statistical register SU of the same type territorial authority type of submission (electronic or paper) SU list Questionnaires template

9 9 1. Access the list of forms 2. Select and download of templates 3. Input and control data 4. Report submission 5. Acknowledgement receiving Respondent Receiving center Internet Report submission process

10 10 Organization of respondent support Technical and methodological support: 1. region, 2. central, 3. software developer Advocacy and promotion:  media publications,  local authorities information board,  special website section

11 Respondent experience and new model advantages user-friendly and uniform interface for different observations; the latest version of forms and required metadata (synchronization with receiving center); possibilities for data validation and collection data from different units within local network; respondent’s burden decrease; proper level of the information security is provided by encryption and digital signature application; electronic confirmation of report acceptance 11

12 12 Dynamics of e-submission Report on industry production – 79,4 % Report on status of settlements – 83,3 %

13 Official Web site Anonymous users Central office’s users Local statistical offices’ users Authorized users PublicationsAggregated data Information dissemination Publications News and press releases Databases 13

14 Future plans for development Extended using of Internet and portal technologies for data collecting and dissemination Development and implementation of e-archive Implementation of international standards for data and metadata exchange Development mobile application for collecting and dissemination of statistical data Implement modern methods of data presentation, such as geographic information systems. 14

15 15 Thank you! Questions?


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