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MWW 2019

KOSTAT’s

Process Model

and Production System

for Official Statistics

MWW 2019

ModernStats World Workshop

28 June, 2019

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Background

KSBPM

NARAStat

Achievements & Challenges

Future Plan

Contents

Ⅰ BsckgroundⅠ Background

422 agencies

1,142 Official Statistics

422 agencies

(1,142 Official Statistics)

Decentralized Production System

Background KSBPM NARAStat Achievements and Challenges Future Plan

KOSTAT

MOHW

MSS

ME

KOSTAT

(Statistics Korea)

KOSTAT

(Statistics Korea)



MOHW

MSS

ME

MOHW

(Ministry of Health and Welfare)

MOHW

(Ministry of Health and Welfare)



KOSTAT

MAFRA

MSIT

MSS

(Ministry of SMEs and Startups)

MSS

(Ministry of SMEs and Startups)



KOSTAT

MSS

ME

ME

(Ministry of Environment)

ME

(Ministry of Environment)



KOSTAT

MSS

ME

Integrated Environment Needs for Statistical Production


Capability for Official Statistics Saving of Government Budget

Standardize the Production Process of official statistics !

Build a Generic System producing the Various statistics !

Ⅱ KSBPMⅡ KSBPM

Progress of KSBPM (v1.0)


7. Disseminate

6. Non-response

Processing

5. Process Data

4. Collect Data

3. Sample Design and

Management

2. Design

Questionnaire

1. Survey Planning

7. Post Management

6. Documentation &

Dissemination

5. Data Analysis &

Quality Evaluation

4. Input & Process

Data

3. Collect Data

2. Survey Design

1. Survey Planning

8. Archive

7. Disseminate

9. Evaluate

6. Analyze

5. Process

4. Collect

3. Build

2. Design

1. Planning

7. Disseminate

6. Analyze

5. Process Data

4. Collect Data

3. Prepare Data

Collection

2. Design

1. Survey Planning

8. Archive

9. Evaluate

8. Archive

7. Disseminate

9. Evaluate

6. Analyze

5. Process

4. Collect

3. Build

2. Design

1. Specify Needs

GSBPMAdministrative

ManualPractice

GuidelinesHandbook forStat Quality

KSBPM v1.0

Progress of KSBPM (v2.0)


6. Make production

plan

5. Check data

availability

4. Identify statistical

concepts

3. Establish output

objectives

2. Verify & Specify

statistical demand

1. Determine

statistical demand

6. Make basic

production plan

5. Check data

availability


concepts

3. Establish output

objectives

2. Verify & Specify

statistical demand

1. Determine

statistical demand

5. Analyze budget in

advance

4. Establish output

objectives


concepts

2. Review and

discuss demand

1. Determine

statistical needs

6. Prepare business

case

5. Check data

availability

4. Identify concepts

3. Establish output

objectives

2. Consult and

confirm needs

1. Determine needs

for information

6. Make production

plan

6. Make production

plan

5. Check data

availability


concepts

3. Establish output

objectives

2. Verify & Specify

statistical demand

1. Determine

statistical demand

KSBPM v1.0 GSBPM v4.0T/F

DiscussionsImprovements(T/F Review) KSBPM v2.0

Overview of KSBPM


“ 9 Mega-Processes with 47 Sub-Processes ”

Plan Design Build

Determine statistical demand

Verify & Specify statistical demand

Establish output objectives

Identify statistical concepts

Check data availability

Make production plan

Design output

Design variables

Design collection methodology

Design universe & sample

Design processing methodology

Design production system

Build collection instrument

Build production system

Configure workflows

Test production system

Test business process

Finalize production system

Select sample

Prepare collection

Run collection

Finalize collection

Integrate data

Classify & code

Review, validate & edit

Impute

Derive new variables &

statistical units

Calculate weights

Calculate aggregates

Finalize data processing

Prepare draft outputs

Validate outputs

Scrutinize & explain

Apply disclosure control

Finalize outputs

Prepare dissemination data

Produce dissemination

products

Manage release of dissemination

products

Promote dissemination

Products

Manage user support

Define archive rules

Manage archive repository

Preserve data & associated metadata

Dispose of data & associated metadata

Make evaluation plan

Conduct evaluation & produce reports

Derive improvement plans

& make action plan

Ⅲ NARAStatⅢ NARAStat

Overview of NARAStat


Sharing and Integrated Statistical Production System

Sharing the system Collaboratively Reduce Costs to produce statistics

Hide Complexities into the System Save Time to produce statistics

Standardized statistical production Process Improve the Quality of statistics

Understanding the NARAStat


Combining functions for statistical production

Just like the solution to create documents using various functions ...

RegisterQuestionnaire

ReviewAggergate

Co

mb

ina

tion

Documents

Presentations

Understanding the NARAStat


Sharing a system that supports various statistical surveys

Entering questionnaire

(face-to-face interview, Internet, mobile)

Review Content and Process Data

(Survey A)

face-to-face

interview

(Survey B)

Internet

(Survey C)

Review

Content

(Survey C)

Mobile

(Survey B)

Process

Outliers

Common

(Survey A)

Process

Weights

Survey A

System B System CSystem A

System B

System C

Support a variety of survey methods(CADI,CASI, CAPI, CATI, Mobile)

Ⅳ Achievements

& Challenges

Ⅳ Achievements

& Challenges

Achievements


System Operation Status and Major Achievements

Type of

AgencyNumber

Statistics by Survey Method

Sum Survey Derived

Central

Administrative

Agency

14 94 93 1

Local

Government220 352 135 217

Other Agencies 11 13 13 0

Total 245 459 241 218

Strengthen quality with systematic production and management of official statistics

Efficient use of national budget by joint use of system for statistical production

Challenges


KSBPM NARAStat

Standardized Data Flexibility (Changeability)

ⅤFuture PlanⅤFuture Plan

Modular, Flexible & Standardized System

Future Plans


Population and Housing Census by NARAStat 2.0

NARAStat(KSBPM v2.0)

CurrentStatus

Analysis

InformationStrategy Planning

Build new-generation NARAStat

… 2019 2020 2021 ~ 2023 2025

Work, Organization NARAStat System

KSBPM System Data

DB Model Design Integration

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