Transcript 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.

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
State Statistical System in the
Republic of Belarus
Users:
State statistics:
NSO
7 regional offices
113 district offices

Vitebsk
Minsk
Respondents:
Society
 Government
Regional authorities
 Mass media
 Citizens
 Scientific
organizations
 International
organizations

Grodno
citizens,
Brest
householders,
businesses,
non-commercial organizations, etc
Mogilev
Gomel
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Three-tier statistical system
Central
office
Region
District
Software
development
and support
Dissemination,
Publication,
User support
Processing,
analysis
Data collection,
Control,
Technical support
of the respondents
Processing,
analysis
Dissemination,
Publication,
User support
Data collection,
control
Computing centers
Respondents
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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.
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Telecommunication and computing
infrastructure for NSIS
National Data center
Cisco
Hewlett Packard
MS Windows
Oracle
corporate telecommunication network
Regions
Regional Data center
corporate telecommunication network
Districs
5
Data collection and processing system
Belstat
Internet
SW
Firewall
Firewall
Belstat’s
web-site
the Receiving Center
Reports’
processing
service
original reports
database
XML
Operational
database
Corporative
network
Regional microdatabases
Hard copies input
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General description of data
collection and processing
SU
Ext.
module
Metadata subsystem
-Statistical register
-Classifications
-Statistical indicators
catalogue
Quest. template
DS
- Receiving center
- Reports’ processing service
- Certificate authorities
- Operational database
Databases
- report data (micro data)
- aggregated data (macro
data)
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Questionnaires template
Survey form
Template
• Description of
form structure
• Description of
metadata
Controls
SU list
• SU from statistical register
• SU of the same type
Control
description
• territorial authority
• type of submission (electronic
or paper)
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Report submission process
Receiving center
1. Access the list of forms
2. Select and download of templates
Internet
3. Input and control data
4. Report submission
5. Acknowledgement receiving
Respondent
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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
10
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
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Dynamics of e-submission
100
90
81,1
80
92,2
93,8
83,9
89,9
Report
on industry
production – 79,4 %
70
61
60
60,4
50
40
Report on profit
43,9
Production cost report
37,6
30
20
10
11,7
0
october november december january
june
Report
on status of
settlements – 83,3 %
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Information dissemination
Local statistical offices’ users
Authorized users
Official
Web
site
Publications
News and press
releases
Databases
Anonymous users
Central office’s users
Publications
Aggregated data
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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.
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Thank you!
Questions?
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