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MetaPlus. Klas Blomqvist Statistics Sweden Research and Development – Central Methods klas.blomqvist@scb.se. Agenda. The VHS-project Background MetaPlus The concepts, the product KMI-group Support and management for classifications, metadata and content harmonisation

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Metaplus l.jpg

MetaPlus

Klas Blomqvist

Statistics Sweden

Research and Development – Central Methods

klas.blomqvist@scb.se


Agenda l.jpg
Agenda

  • The VHS-project

    • Background

  • MetaPlus

    • The concepts, the product

  • KMI-group

    • Support and management for classifications, metadata and content harmonisation

  • The Lotta project, process reengineering at Statistics Sweden

    • A more effective production process

    • MetaPlus, future development

  • MetaPlus and the production process




Metadata at statistics sweden l.jpg
Metadata at Statistics Sweden

  • SCBDOK

    • Word template, standardised structure free text description

  • MetaPlus (Metadok)

    • Formalized metadata, coded information

  • KDB, the classification database

    • Statistical standards and classifications

  • Other documentation

    • Description of the statistics – the quality declaration

    • Product database

    • Private production documentation


The vhs project l.jpg
The VHS-project

  • The VHS-project started 2004

    • Compilation of requirements: Metadok, new requirements

  • Systems design from 2005

    • Use cases, modeling

  • System development 2006

    • Application, data base

  • Production 2007

    • From January 2


Metaplus7 l.jpg
MetaPlus

  • Replace Metadok

  • Scope:

    • Documentation tool with improved quality

    • Better overview over variables and data

    • Tool for standardisation and harmonisation

    • Possibilities for reuse and coordinated use

    • Consecutive documentation

  • Requirement:

    • That the documented material in Metadok can be migrated


Information l.jpg
Information

  • User groups

  • The Metadata group (reference group)

  • The methods council

  • The IT council

  • The register council

  • The board of directors

  • The scientific council

  • Seminars


The plus with metaplus l.jpg
The plus with MetaPlus

  • Support for the production

    • Cooperation with other metadata systems, Archiving, the Personal Data Act, connection to data

  • User support

    • Search the microdata

  • Improved quality

    • Contents, accessibility and comparability

  • More cost-effective

    • Increased use of collected data

  • Reduced respondent burden

    • No new collection if data already exists


Easier to document l.jpg
Easier to document

  • Starting point in already existing metadata

    • Classifications and standards

    • Documentations made by others

    • Search the metadata repository

  • Document once - reuse

  • Input data in the form of tables

    • Document the table at once instead of one cell at a time

  • Consecutive documentation

  • Effects:

    • Higher metadata quality

    • Automatic harmonisation


Using metaplus l.jpg
Using MetaPlus

  • New requests (commissions), new surveys

    • Examine if the issue can be solved with already existing data.

  • Information for facilitating coordinated use and harmonisation

  • Search for variables

    • Look at value domains

  • Find information on populations

    • Shows possibilities for matching data

    • Highlights differences in data materials


Content l.jpg
Content

  • Standard variables

  • Variables

  • Object classes

  • Classifications and value domains

  • The survey’s registers

  • Survey population and register population


The model l.jpg

Object class

Variable

Conceptual value

domain

Register

Register

variant

Population

Object

variable

Value domain

Register version

Context Population

Context

variable

Value

The model


The application structure l.jpg

Register

Object

class

Can be

reused

Contentoriented

Register

variant

Population

Value

domain

Register

version

Variable

Unique for

the survey

round

IT-oriented

Database/

file

Column

The application structure


Metaplus functionality some examples l.jpg
MetaPlus functionality, some examples

  • Advanced search

  • Longitudinal registers

  • Time series

  • Historical information

  • Archiving

  • Web prototype

  • Documentation

  • Reuse

  • Harmonisation

  • Administration

  • Classifications

  • Variable groups

  • Personal Data Act Administration System


The kmi group l.jpg
The KMI-group

  • Research and Development department, all units represented

    • Management, Central Methodology, Register coordination and microdata and Central IT units

  • Responsibilities

    • Classifications

    • Metadata

    • Content harmonisation

  • MetaPlus support

    • Migration, training, helpdesk


The lotta project l.jpg
The Lotta project

  • Standardised production and tools

    • Process orientation

    • Customer focus

    • Efficiency

    • Standardisation

    • Quality control

  • New organisation after summer

    • Internal review during summer


The statistical production process l.jpg
The Statistical Production Process

The colours relate to potential areas for process ownership

Level

1

Target,cust.dem

Frame and

sample

Data

collection

Data

preparation

Statistical

computation

Dissemination and communication

Evaluation/cust.satisf.

Cont.,predesign

Administrative

registers

Compilation

of frame

Coding

Estimations

Dissemination

Customer

reactions

Customer contacts

Identification of

data sources

Direct data

collection

L

e

v

e

l

2

Sampling

Editing

Production

of tables and

diagrammes

Data dellivery

To customers

Analysis of

Process data and customer

reactions

Assessment

Other primary

statistics

Corrections

Archiving

Statistical

analysis

Data

delivery

Survey design

Feed-back to the production

process

Prognosis

Tender/agr.

Simulation

models

Technical preparations

Compilation

of results

Documentationpreparations

General for all processes:

Internal

evaluation,

quality control

Deliveries

between

processes

Process data

Meta data

System architect.

Keeping of reg.

Treatment of

Time series

breaks


Metaplus in the statistical production process l.jpg

General for all processes:

Internal

evaluation,

quality control

Deliveries

between

processes

Process data

Meta data

System architect.

Keeping of reg.

Treatment of

Time series

breaks

MetaPlus in the Statistical Production Process

Target,cust.dem

Data

preparation

Statistical

computation

Frame and

sample

Data collection

Dissemination and communication

Evaluation/cust.satisf.

Cont.,predesign

MetaPlus


Conclusions l.jpg
Conclusions

  • Reuse

  • Harmonisation and standardisation tool

  • MetaPlus 1.2 in production

  • Organization (the KMI-group)

  • Content – slow progress

The End!


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