Transcript Recent development in the metadata area at Statistics Sweden Klas Blomqvist [email protected] No development…

Recent development
in the metadata area
at Statistics Sweden
Klas Blomqvist
[email protected]
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
Evaluate and feed back 8
Specify
needs
Design and
plan
1
2
Build
and
test
3
Collect
Process
4
Support and infrastructure 9
5
Analyse
6
Disseminate
and
communicate
7
Statistical production process
Specify
needs
Design and
plan
Build and
test
Collect
1
2
3
4
Identify information
needs and availability
Design
end product
1.1
2.1
Build
collection
instrument
3.1
Process
5
Analyse
6
Disseminate
and
communicate
7
Generate frame and
register population
Classify and
code microdata
Produce
statistics
Prepare
dissemination
4.1
5.1
6.1
7.1
Select
sample
Edit
microdata
Edit
macrodata
Compile
end product
4.2
5.2
6.2
7.2
Design frame,
register population
and sample
2.2
Build and
adapt
tools
Establish
customer contact
Design data
collection
Build
workflow
Set up
data collection
Impute for
nonresponse
Carry out
disclosure control
Disseminate end
product to customer
1.3
2.3
3.3
4.3
5.3
6.3
7.3
Confirm
information needs
Design processing
Test
collection
instrument
Run
data collection
Complement
microdata
Finalise
observation register
Communicate
end product
4.4
5.4
6.4
7.4
Test tools
and workflow
Transfer and store
data electronically
Calculate
weights
Interpret and
explain
Dispose and
preserve
3.5
4.5
5.5
6.5
7.5
Identify customers
1.2
1.4
Negotiate and
contract
1.5
2.4
3.2
3.4
Design analysis
2.5
Design dissemination
and communication
Conduct
pilot study
Finalise outputs
for dissemination
2.6
3.6
6.6
Design workflow
Initiate
workflow
2.7
Plan production cycle
2.8
3.7
Metadata vision, not official
Evaluate and feed back 8
Specify
needs
Design and
plan
1
2
Build
and
test
3
Collect
Process
4
5
MICRO
Source
Raw data
Analyse
Disseminate
and
communicate
7
6
MACRO
Structurered In
data Store
Aggregated data
store
Cube
(output
table)
Metadata repository
SCBDOK, BaS, MetaPlus, SSD-metadata, BaM, Thessaurus, Publication database, ESMS,
Question data base…
Product Data Base
Support and infrastructure 9
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