Transcript Statistics Sweden case study update Klas Blomqvist [email protected] Strategy • Process oriented production, overall strategy, focus on customers, efficiency and standardisation • No separate strategy for metadata.

Statistics Sweden
case study update
Klas Blomqvist
[email protected]
Strategy
• Process oriented production, overall strategy,
focus on customers, efficiency and
standardisation
• No separate strategy for metadata - included
in the overall strategy
• The goal is to have common metadata for the
whole organisation
• Metadata - driving and delivering information
between different process steps
Architecture vision
Metadata vision
Current situation
• Implemented:
– SCBDOK, Description of the statistics including
the Quality Declaration, MetaPlus, The
Classification database, The Process support
system, The statistical databases, The Product
database.
• Ongoing projects:
– Triton, The information model project, ENAR,
MetaPlus development, connecting micro and
macro metadata, The Process support system,
The Product database
Statistical business process
model
Metadata system(s)
• Description of the statistics
• SCBDOK
• MetaPlus
• The classification database
• Macro meta
• The product database
• The process suport system
• FMOD
Costs and Benefits
• Several metadata systems that are not
formally connected.
– Drawbacks: the same information has to be
loaded manually into several systems
– Positive: flexible, fitting specific demands
• Vision – make an integrated system
– Not one giant system, subsystems that are linked
• Stepwise implementation approach
Metadata and the processes
1. Specify needs
2. Develop and Design
3. Build and test
4. Collect
5. Process
6. Analyse
7. Disseminate and
communicate
8. Evaluate and feedback
9. Support and
infrastructure
MetaPlus
MetaPlus
Triton
MetaPlus
The statistical database – Makro
meta, Description of the
statistics, Quality declaration
All processes: the product
database, SCBDOK, the
classification data base and the
process support system
Metadata relevant to other
business processes
• Arken, the Archiving system
• PuL, Data acts requests
IT Architecture
• The IT architecture at Statistics Sweden aims
at maintaining a comprehensive Swedish
statistics system
– Focus:
• Consistency, structured and well documented data
warehouse(s)
• Use registers when possible
• Minimize duplicate data and data transports
• Support process oriented production
• Support efficient data collection
• Support flexible dissemination
Base registers
• The foundation
– 3 base registers, individuals,
business/organizations and real estate. The base
registers are statistical register that are:
– Managing basic object types
• Defines object types and connections
–
–
–
–
–
Center of “sphere of interest”
Autonomous
Has links to other base registers
Containing stock variables (mainly)
Containing time-stamped data
Overview of roles and
responsibilities
• Decentralized responsibility for registering
metadata
• The statistical databases for which registering
metadata is centralized
• Guidelines and follow-up
Organisation and training
• Organisation
–
–
–
–
The Process department
The Research and development department
The subject matter departments
The communication department
• Training and knowledge management
– The KMI-area, Process department
– The documentation network
– The classification group
Questions?
• The end…