Transcript EXPERIENCES FROM DISTRIBUTED REGISTERING OF METADATA IN METAPLUS Klas Blomqvist and Lars-Göran Lundell Statistics Sweden.

EXPERIENCES FROM
DISTRIBUTED REGISTERING
OF METADATA IN METAPLUS
Klas Blomqvist and Lars-Göran Lundell
Statistics Sweden
Agenda
• Background
– The metadata system
– Organisational impact
– Reorganisation
• Experiences
• Future plans
Statistics Sweden’s metadata
system
• SCBDOK
• Description of the statistics
• MetaPlus
Metadata repository
Description of the statistics
Quality Declaration
SCBDOK
KDB
MetaPlus
Organisational impact
• Decentralised organisation
– Strong subject matter departments
– Functional departments
• Decentralised registration of metadata
– Central support and coordination (R&D dept.)
– Central dissemination (Info dept.)
Organisational impact
• New organisation
– The Process Department
– The Research and Development Department
– The Communication Department
– Classifications, metadata and content
harmonisation (KMI)
Re-organising Statistics Sweden
• Standardised production and tools
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Process orientation
Customer focus
Efficiency
Standardisation
Quality control
MetaPlus - Contents
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Standard variables
Variables
Object classes
Classifications and value domains
Registers created and used
Population
MetaPlus current functionality,
some examples
• Documentation
• Longitudinal registers
• Reuse
• Time series
• Harmonisation
• Historical information
• Classifications
• Administration
• Variable groups
• Advanced search
• Personal Data Act
Administration System
• Web interface
• Archiving
MetaPlus - Model
Register
Object
class
Variable
Conceptual
value
domain
Register
variant
Population
Object
variable
Value
domain
Register
version
Context
Population
Context
variable
Value
Registering metadata with
MetaPlus
• Organisational issues for registering
metadata
– Decentralised organisation
– Stovepipe production model
– Documentation is a burden
• The KMI Group
• Networks
The KMI Group
• Governance and development of the
metadata system
– Implementation and maintenance of MetaPlus
– User training, helpdesk and support
– Presentation on the web
• Harmonisation
– Classifications and classification related methods
– Contents within the metadata systems
The documentation network
• All departments represented
• ”Standard”
• PCA – Supplying methodology resources
• Bridge between central knowledge and
subject matter expertise
Graphical view
KOM
WWW.SCB.SE
Dept. A
Dept. B
PCA
KMI
Contents Harmonisation
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History: The Metadok system
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A constant demand
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Lack of understanding from users
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Stepwise approach
1. Classify contents
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Statistical, Administrative and General variables
2. Remove duplicates
3. Subject matter control
Statistics and evaluation
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The Management
– Monitors overall progress
– Follows up and takes relevant actions
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The KMI Group
– Follows up and evaluates the detailed contents
of the MetaPlus database
– Reports to Management
Experiences from working with
MetaPlus
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Disadvantages of the decentralised mode:
– Central control is more difficult
– Coordination and harmonisation of contents is
more difficult
– Registration of documentation is not always
prioritised locally
Experiences from working with
MetaPlus
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Advantages of using a decentralised mode:
– Relatively sparse and efficient use of central
resources
– Enforces knowledgeable participation from the
subject matter specialists
– Possibility to join the metadata system with other
systems
MetaPlus and archiving
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Long-term archiving
– Data sent to the National Archives
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Dedicated archiving system
– Creates archive files in required format
– Converts archive files to database tables
– Uses MetaPlus information
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Metadata from MetaPlus and SCBDOK is a
required part of the archived material
Future plans
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Web presentation of metadata based on
the MetaPlus database
– First version to be launched later this year
– Documentation (variables, micro registers,
statistical units, populations, etc)
– Classifications
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MetaPlus used by other Swedish
providers of statistics
Future plans
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Planned additions
– Web presentation will include links between
metadata on micro and macro levels
– End-user tool for metadata driven production
of tables
– Expanded classification database
Use in the life cycle