Statistics Sweden case study update

Klas Blomqvist

klas.blomqvist@scb.se

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 MetaPlus 3. Build and test MetaPlus 4. Collect Triton 5. Process MetaPlus 6. Analyse 7. Disseminate and communicate

The statistical database – Makro meta, Description of the statistics, Quality declaration

8. Evaluate and feedback9. Support and infrastructure

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…