Generic Statistical Information System. 1 Overview System Development Plans Ⅰ Ⅰ Ⅱ Ⅱ Ⅲ Ⅲ Appendix Ⅳ Ⅳ.

Slides:



Advertisements
Similar presentations
Near East Plant Protection Network for Regional Cooperation & Knowledge Sharing Food and Agriculture Organization of the United Nations An Overview on.
Advertisements

Input Data Warehousing Canada’s Experience with Establishment Level Information Presentation to the Third International Conference on Establishment Statistics.
QM Implementation Based on CoP, PDCA, and GSBPM
ITIL: Service Transition
LLNL and LANL Portal Update Cathy Aaron, Lawrence Livermore National Laboratory Katherine Norskog, Los Alamos National Laboratory Presented at InterLab.
Establishment of KSBPM
New Direction of National R&D Evaluation System in Korea Changwhan Ma Director of Performance Policy Division EVALUATION Anaheim, CA,
Department of National Accounts TURKISH STATISTICAL INSTITUTE (TurkStat) Workshop on the Implementation of the SNA-2008 in EECCA Countries and Linkages.
The Role of Data analysis for M& E in the context of ABRDP By: Faye Ensermu Chemeda Data Analysis Expert Ethio-Italian Development Co-operation Asella.
PEOPLE FIRST Department of Management Services State of Florida Orientation Session & Briefing October 7, 2002.
1 Position 1.1 Shape ABS Futures1.3 Champion ABS1.2 Foster internal excellence 2 Influence & collaborate 2.2 Advance national business2.3 Advance international.
1 Human resources management in NSOs Training workshop for SADC member states. Luanda, 2-6 Dec 2006 Olav Ljones, Deputy Director General, Statistics Norway.
by Ha Do Statistical Standard Methodology and ITC Department
Agricultural Biotechnology Network for Regional Collaboration and Knowledge Sharing Food and Agriculture Organization of the United Nations An Overview.
INDOT’s Scheduling / Project Management System (SPMS) Vision & Objectives for Next Generation SPMS Mike Jenkins, Indiana DOT Teresa Franklin, Info Tech,
United Nations Economic Commission for Europe Statistical Division Applying the GSBPM to Business Register Management Steven Vale UNECE
MethodECMS © כל הזכויות שמורות. Methoda Computers Ltd 2 MethodECMS  MethodECMS is a proactive package that enables the establishment.
Electronic reporting in Poland 27th Voorburg Group Meeting Warsaw, Poland October 1st to October 5th, 2012 Central Statistical Office of Poland.
PILOT PROJECT: External audit of quality assurance system on HEIs Agency for Science and Higher Education Zagreb, October 2007.
Case Studies: Statistics Canada (WP 11) Alice Born Statistics UNECE Workshop on Statistical Metadata.
Eric Westfall – Indiana University Jeremy Hanson – Iowa State University Building Applications with the KNS.
Introduction e-Census system for 2005 Integrated e-Census system for 2010 Supplement.
Development of Management Information System for the Forestry Sector in Viet Nam F O R M I S II Annual Work Plan 2014 Tapio Leppänen Chief Technical Adviser.
Success factors that govern the compilation of indicators An efficient model for change PART 3.
Initial thoughts on a Global Strategy for the Implementation of the SEEA Central Framework Ivo Havinga United Nations Statistics Division.
Identifying Data Needs: Workshop on Household Surveys and Measurement of Labour Force with Focus on Informal Economy Maseru, Lesotho, April 2008.
Development of metadata in the National Statistical Institute of Spain Work Session on Statistical Metadata Genève, 6-8 May-2013 Ana Isabel Sánchez-Luengo.
Department of Census and Statistics - Sri Lanka The Development of Central Survey Catalogue – Department of Census and Statistics [DCS] SRI LANKA Presented.
Software Systems for Survey and Census Yudi Agusta Statistics Indonesia (Chief of IT Division Regional Statistics Office of Bali Province) Joint Meeting.
Population Census carried out in Armenia in 2011 as an example of the Generic Statistical Business Process Model Anahit Safyan Member of the State Council.
How to use the VSS to design a National Strategy for the Development of Statistics (NSDS) 1.
Copyright 2010, The World Bank Group. All Rights Reserved. Part 2 Labor Market Information Produced in Collaboration between World Bank Institute and the.
Current and Future Applications of the Generic Statistical Business Process Model at Statistics Canada Laurie Reedman and Claude Julien May 5, 2010.
Building Applications with the KNS. The History of the KNS KFS spent a large amount of development time up front, using the best talent from each of the.
1 Improving Data Quality. COURSE DESCRIPTION Introduction to Data Quality- Course Outline.
Multi-modal of data collection for the 2010 Population and Housing Census National Statistical Office, Thailand (Daejeon, Republic of Korea, April.
VIETNAM STATISTICAL DEVELOPMET STRATEGY , VISION TO 2030 (VSDS) Presented by: Nguyen Van Doan Director, Institute of Statistical Science GSO December,
MSIS-2014, Dublin, April IRIA: Statistics Production Model of the National Statistical Institute of Spain (INE). José Manuel Bercebal José Luis Maldonado.
United Nations Economic Commission for Europe Statistical Division Mapping Data Production Processes to the GSBPM Steven Vale UNECE
Use of Administrative Data Seminar on Developing a Programme on Integrated Statistics in support of the Implementation of the SNA for CARICOM countries.
Looking Forward the Post-2015 Sustainable Development Goals (SDGs) UNSD-DFID Project on National Development Indicators: Country Director's Meeting, New.
Instituto Nacional de Estadística, Geografía e Informática (INEGI), Mexico National Economic Surveys (NES) Jun 2007.
Version 3.3 ITIL – IT Service Management An overview program for IT Service Management good practices.
Enhancing Institutional Capacities for Urban Management Vinod Tewari Director National Institute of Urban Affairs
Statistical Metadata Strategy and GSIM Implementation in Canada Statistics Canada.
European Conference on Quality in Official Statistics Session 26: Census 2011 « Helsinki, 6 May 2010 « Census quality control with BSC: the Portuguese.
SNA seminar in the Caribbean Integrated questionnaires Marie Brodeur Director General, Industry Statistics Branch, Statistics Canada St. Lucia February,
1 The United Nations Demographic Yearbook and the Work Programme for Social Statistics Expert Group Meeting to Review the United Nations Demographic Yearbook.
Eurostat/UNSD Conference on International Outreach and Coordination in National Accounts for Sustainable Development and Growth 6-8 May, Luxembourg These.
Regional Seminar on Promotion and Utilization of Census Results and on the Revision on the United Nations Principles and Recommendations for Population.
2020 World Population and Housing Census Programme United Nations Statistics Division Group of Experts on Population and Housing Censuses Geneva, 30 September.
Consultant Advance Research Team. Outline UNDERSTANDING M&E DATA NEEDS PEOPLE, PARTNERSHIP AND PLANNING 1.Organizational structures with HIV M&E functions.
United Nations Oslo City Group on Energy Statistics OG7, Helsinki, Finland October 2012 ESCM Chapter 8: Data Quality and Meta Data 1.
1 Statistical business registers as a prerequisite for integrated economic statistics. By Olav Ljones Deputy Director General Statistics Norway
26 January 2016CountrySTAT Training for the Philippines Introduction to FAOSTAT and CountrySTAT 1 Overview of the FAOSTAT and CountrySTAT Candido J. Astrologo,
State of Georgia Release Management Training
Introduction of the SGB.net System Atilla ÇAKIR Ezgi DÜLGER.
5.8 Finalise data files 5.6 Calculate weights Price index for legal services Quality Management / Metadata Management Specify Needs Design Build CollectProcessAnalyse.
Alex Ezrakhovich Process Approach for an Integrated Management System Change driven.
Chang, Wen-Hsi Division Director National Archives Administration, 2011/3/18/16:15-17: TELDAP International Conference.
Dagmar Schmalzbauer ATMOS - Austrian Monitoring System.
Statistical process model Workshop in Ukraine October 2015 Karin Blix Quality coordinator
United Nations Statistics Division
Operationalizing the e-Governance Framework for health
Developing reporting system for SDG and Agenda 2063, contribution of National Statistical System, issues faced and challenges CSA Ethiopia.
Quality assurance in official statistics
Energy Statistics Compilers Manual
Mapping Data Production Processes to the GSBPM
United Nations Statistics Division
What is a System? A system is a collection of interrelated components that work together to perform a specific task.
Presentation transcript:

Generic Statistical Information System

1 Overview System Development Plans Ⅰ Ⅰ Ⅱ Ⅱ Ⅲ Ⅲ Appendix Ⅳ Ⅳ

2 Ⅰ Ⅰ Overview 1. Current Status 2. Problems 3. Objectives

Production of National Statistics Classification Number of agencies Number of statistics By kindBy compiling method Designated statistics General statistics Survey statistics Administrative statistics Analytics statistics Total Government Central agencies Local agencies Designated agencies (As of April 1 st, 2011) Current status 1 1

Statistical Personnel Year Officials (person)4,1354,5074,4154,530 Percent change (%) (Source: Statistical Workforce and Budget Survey 2010 ) *Statistical personnel refer to those whose statistical work occupies more than 50 percent of the their responsibilities. Statistical personnel recorded 4,530 persons in 2010, which rose by 115 persons from Out of them, enumerators occupied 56.7 percent. Current status 1 1

Information Systems The majority of statistical agencies produce statistics through outsourcing due to the absences of the statistical production and management system. Classification Central government agencies Local government agencies Designated agencies Total Statistical agencies Agencies W / information systems Percentage (%) Current status 1 1

Problems 2 2 Central A Local A Other A Planning Survey Design Data Collection Prep. Data Collection Data Processing Analysis Release Archive Meta Data Mgmt Quality Control

Governance and quality improvement of national statistics Objectives 3 3

8 Ⅱ Ⅱ System Develpment 1. Purpose 2. Organization 3. KSBPM 4. System Architecture

Purpose of the generic statistical information system Purpose 1 1

Establish basic plans and directions of the project Choose, review, finalize and evaluate the project Secure the budget and finance the project Ministry of Public Administration and Security Choose an outsourcing company and sign a contract (in cooperation with the KOSTAT) Supervise and inspect the project Budgeting and accounting National Information Society Agency (Expert organization) Establish the project plans and make out a request for proposal (RFP) Choose and outsourcing company and sign a contract (in cooperation with the National Information Society Agency) Manage and carry out the project Statistics Korea (Supervising organization) Task force for the generic statistical information system Develop and build the system User training and technology transfer Outsourcing Organization 2 2

KSBPM (Korea Statistics Business Process Model) Governance Statistics-based policy management Statistical policy managementQuality managementStatistical coordination PlanningData collectionDissemination DesignData processingArchive ImplementationAnalysisEvaluation Support for the production quality Quality check in each production stepManagement of statistical production Support for population-related information Support for sampling design Support for enumeration districts and maps Support for production Production process pool Sharing of statistical business knowledge Metadata use Help desk Sharing of statistical information KSBPM 3 3

Generic Statistical Information System Architecture Users Generic Statistical Information System Governance system Common service-based system Statistical collaboration KOSTAT systems Survey system (CAPI, CATI, ICR) International organizations Production agencies Outside systems Integrated login Knowledge management Communication Support for production Help desk DB linkage RMI Integrated Metadata Management System Link with the classification system of national statistics Statisticians Contract-based production agencies Enumerators/ Survey managers Academia/ Research institutes The general public Mobile application Demand management Coordination management Quality management Inspection management Policy consulting Statistical metadata Business reference metadata Standardization metadata Mobile channels Microdata archive PDAUMPC Survey design Data collection Data processing Data dissemination and management Support for statistical quality Evaluation Integrated information link system SecurityBackup KPI management History management Support for common services Generic Statistical Production System KOSIS MDSS Integrated Administrative Data Management System Population System (establishments/enterprises) e-National Indicators Statistical Metadata System Statistical DW System Linking system Web services System Architecture 4 4

13 Ⅲ Ⅲ Plans 1. Plans by Year 2. Expectation Effects

Integrate statistical policies (Demand, approval and quality) Build the model statistical system (30 agencies )  Statistics Korea (1), Ministry of Public Administration and Security (1)  Ministry of Culture, Sports and Tourism (3)  Gyeongnam and basic local governments (12)  Jeonbuk and basic local governments (9)  Social surveys (Jeonbuk, Jeonju, Gunsan, Gyeongnam, 4) Build the integrated metadata system Build the edit, tabulation and analysis system Expand the statistical system (120 agencies) Develop the generic sampling system Establish a support system for non- designated statistics Improve the functions in the system Expand the statistical system (Other statistical agencies) Expand the functions of quality management Build a system for data sharing and linkage among agencies Support a specialized function of respective agencies ※ Information Strategy Planning (ISP) (2010) Phase 1Phase 2Phase 3 Expand the generic statistical information system Establish the infrastructure for the generic statistical information system system Strengthen the generic statistical information system Action Plans by Year Plans by Year 1 1

Qualitative effect Quantitative effect Efficient statistical activities via the standardized processes (Survey planning, dissemination and data management) Budget reduction and common use of the statistical production system Economic benefit of 24.4 billion KRW per year via the standardized statistical production system (Reduction of time spent on the production of administrative statistics, KOSIS data input and self-evaluation) Budget reduction of 73.4 billion won per year by saving the costs of the development and maintenance of the statistical production system ( * According to the 2010 Statistical Manpower and Budget Survey) Expectation Effects 2 2

16 Ⅳ Ⅳ Appendix 1. Concept 2. Framework Benefit 3. e-Gov Structure 4. Common Components

Commonly usable standardized parts such as the front door, the windows or the lighting fixture Development Framework : A standardized development supporting toolset for the efficient development and the simple maintenance Application program A Application program B Design Structure/Infrastructure Common Components Development Framework Common Component : A reusable software focused on providing the function needed commonly and frequently in various administrative agency information systems (for example: the login function or the board function) Framework and Common Components Concept 1 1

Common Components Framework Common Components Reuse Efficient Maintenance Developer's concentration on the business logic Framework Template-based development Current Development Method Performance and Quality Assurance Work SimplificationOn-time Delivery Cost Saving The Framework Template-based Programming maximizes the development productivity, assures the quality and minimizes the risk factors Business Logic Manpower Screen DB Connection Login Transaction Log Exception Handling Error Handling Rights Authentication Utility Business Logic Work Simplification Framework-based Development Method Framework Benefits 2 2

EnvironmentDescription Developmen t Environment Provides support tools for the overall SW development life-cycle, such as requirements gathering, analysis / design, implementation, testing, and deployment Runtime Environment Provides common runtime modules for running the SW applications Operations environment Provide operational tools for monitoring and operating SW application based on eGovFrame Managemen t Environment Provide management tools for maintaining and improving efficiently eGovFrame eGovFrame Runtime environment SW Applications eGovFrame Development environment SW Developers eGovFrame Management environment Framework Managers eGovFrame Operations environment Application Operators eGovFrame Structure 3 3

Component TypeComponent Common Technologi cal Service (129) Security 8 services including Authentication, permission administration, encryption/decryption User directory/authenticat ion 3 services including General Login, login with authentication token, login policy User support 56 services including user administration, inquiry administration, questionnaire administration, FAQ, Q&A Collaboration28 services including Bulletin board, community, directory System administration 25 services including common code, menu/log administration, institution code System/service interface 4 services including Institution/Interface administration Statistics/reporting5 services including Statistics on posting, access, report Elementary Technological Service (90) 90 services including calendar, format/calculation/conversion, validity check for format/calculation/conversion Common Components 4 4

Chanil Seo Director Informatics Planning Division Phone: Phone: Fax : Fax :