Recent development in the metadata area at

Statistics Sweden

Klas Blomqvist

klas.blomqvist@scb.se

No development…

No development…

New organisation

Process orientated organization

• Customer focus

• Increase efficiency

• Standardization

• Harmonization

• Quality control – overall quality

New organisation

Process department

• Process managers

• Centralized IT and Methodology

• Classifications, Metadata and content harmonization

• Implement standard tools and methods

Responsibility for Metadata

• Process dept, short run

• R&D department, architects, long run

Prioritized development areas

• ISO 20252

• Data collection

• Editing

Statistics production process

Support and infrastructure 9

Specifyneeds

1

Design and

plan

2

Build and test 3

Collect

4

Process

5

Analyse

6

Disseminate and

communicate 7

Evaluate and feed back 8

Statistical production process

Identify customers1.2

Confirm information needs

1.4

Establishcustomer contact

1.3

Negotiate and contract

1.5

Preparedissemination

7.1

Compile end product

7.2

Disseminate end product to customer

7.3

Classify and code microdata

5.1

Edit microdata

5.2

Impute for nonresponse

5.3

Complement microdata

5.4

Calculate weights

5.5

Carry out disclosure control

6.3

Generate frame andregister population

4.1

Set up data collection

4.3

Run data collection

4.4

Transfer and storedata electronically

4.5

Design end product

2.1

Design data collection

2.3

Design processing2.4

Design analysis2.5

Design disseminationand communication

2.6

Design workflow 2.7

Build collection instrument

3.1

Build and adapttools3.2

Build workflow

3.3

Testcollection instrument

3.4

Test tools and workflow

3.5

Conductpilot study

3.6

Producestatistics

6.1

Editmacrodata

6.2

Finalise observation register

6.4

Interpret andexplain

6.5

Design frame, register population

and sample2.2

Identify information needs and availability

1.1

Communicateend product

7.4

Select sample

4.2

Plan production cycle2.8

Initiateworkflow

3.7

Finalise outputsfor dissemination

6.6

Specify needs

1

Design and

plan

2

Build and test

3

Collect

4

Process

5

Analyse

6

Disseminate and

communicate 7

Dispose and preserve

7.5

Support and infrastructure 9

MACROMICROAggre-

gated data store

Cube (output table)

Raw dataSource

Metadata vision, not official

Structur-ered In

data Store

Specifyneeds

1

Design and

plan

2

Build and test 3

Collect

4

Process

5

Analyse

6

Disseminate and

communicate 7

Evaluate and feed back 8

Product Data Base

Metadata repository

SCBDOK, BaS, MetaPlus, SSD-metadata, BaM, Thessaurus, Publication database, ESMS, Question data base…

Ongoing

• KMI, classifications, metadata and content harmonization

• Support organization for documentation and classification work

• Managing the metadata systems

• New arcitecture, metadata has a central role

Near future plans

• Business Operating Support System - BOSS– Stage 1, Describing standard tools and method for the

production process – October 2008– Stage 2, Possibility to describe the product's production,

connection to existing metadata tools - June 2009– Stage 3, SOA connection, workflow support, supply

production documentation – early 2010 (goal)

• When using BOSS required documentation will be extracted from the system after finalizing the production

Near future plans

• Tie metadata to the Business Operating Support System

• Web presentation with links between metadata on micro and macro levels

• Expanded features to the classification database

Sharing

• Statistics Sweden are more than happy to share with other organisations– MetaPlus

– Variable concepts

– Variables

– Classifications and code lists

– Population and statistical units

• For use in all steps of the production process

• The model is availiable in english

• Crude translation of the application is availiable in english

– Production process model