Metadata standards and official statistics
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Transcript Metadata standards and official statistics
Metadata Standards and
Official Statistics
Presentation by:
Jack Gager
[email protected]
Metadata Technology, North America
Metadata Technology North America 200 Prosperity Dr., Knoxville, TN 37923 USA +1 (877) DDI – SDMX www.mtna.us
Overview
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Why Standardize
Standards Overview
Our Experiences
The Future of the Standards
Summary
Metadata Technology North America 200 Prosperity Dr., Knoxville, TN 37923 USA +1 (877) DDI – SDMX www.mtna.us
Why Standardize?
• Strategy to implement the vision of HLG-BAS1 laid out
the following key points:
• Organizations producing statistics are faced with a shift in
the way data is produced and utilized
• The abundance of data poses both opportunities and
challenges
• The strategy focused on 5 themes:
• Organizations producing statistics need to improve
processes
• Data and services need to be more economic to produce
• Vast amounts of available data should be utilized
• Environments which promote reuse of data, processes and
methods should be created; including those which allow
users to perform their own analysis
• Strong leadership is required for this strategy
1. http://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/2012/10_-_HLGBAS_Strategy.pdf
Metadata Technology North America 200 Prosperity Dr., Knoxville, TN 37923 USA +1 (877) DDI – SDMX www.mtna.us
HLG-BAS Strategy
• Building knowledge based on international standards
• GSBPM for business concepts
• GSIM for information concepts
• Outline a plug-and-play architecture
Metadata Technology North America 200 Prosperity Dr., Knoxville, TN 37923 USA +1 (877) DDI – SDMX www.mtna.us
DDI
• Even before DDI, survey metadata was being captured
in machine actionable ways
• DDI 1.0 was finalized around 2000
• Archival
• Single survey view with variable centric metadata
• DDI 2.0 was introduced in 2003
• Aggregate data
• Geographical information
• Lifecycle approach accepted 2004
• Move from single survey view
• Promote reuse and harmonization of metadata
• DDI 3.0 officially released 2008
Metadata Technology North America 200 Prosperity Dr., Knoxville, TN 37923 USA +1 (877) DDI – SDMX www.mtna.us
DDI Lifecycle
Metadata Technology North America 200 Prosperity Dr., Knoxville, TN 37923 USA +1 (877) DDI – SDMX www.mtna.us
SDMX
• Prior to SDMX there was GESMES/TS
• SDMX 1.0 was released in 2004
• Data
• Structure
• Query
• Became ISO 17369 in 2005
• SDMX 2.0 released in 2005
• Registry
• Reference Metadata
• SDMX 2.1 released in 2011
• Enhanced web services
Metadata Technology North America 200 Prosperity Dr., Knoxville, TN 37923 USA +1 (877) DDI – SDMX www.mtna.us
GSBPM
DDI
SDMX
Metadata Technology North America 200 Prosperity Dr., Knoxville, TN 37923 USA +1 (877) DDI – SDMX www.mtna.us
DDI
GSIM
• Information objects for the GSBPM
• Goals:
• Provide common terminology and definitions for
developing metadata systems and information
management frameworks
• Reference model for implementing on a consistent basis
when defining information to drive production processes
• SDMX and DDI Lifecycle as starting points
• Leveraged where appropriate as representations of GSIM
Metadata Technology North America 200 Prosperity Dr., Knoxville, TN 37923 USA +1 (877) DDI – SDMX www.mtna.us
Our Experience
• Initially, standards were seen as competing
• That has been largely clarified
• Aided by ongoing dialogues between SDMX/DDI
• Standards are often viewed a magic bullets
• Rarely is this the case
• Extensions are often necessary
• The standards are not great at actually managing
metadata
• Standards used only for their basic purposes probably
hinder more than they help
• Standards are only as good as the quality of the
metadata behind them
Metadata Technology North America 200 Prosperity Dr., Knoxville, TN 37923 USA +1 (877) DDI – SDMX www.mtna.us
Future of the Standards
• GSBPM and GSIM are steps in the right direction
• DDI and SDMX should take leads from GSIM
• Base their models in GSIM so the standards are better
harmonized
• Follow GSIMs lead in not prescribing metadata
management, but rather only the information necessary for
the purpose of the standard
• Lower barriers for entry and adoption
Metadata Technology North America 200 Prosperity Dr., Knoxville, TN 37923 USA +1 (877) DDI – SDMX www.mtna.us
Summary
• GSBPM and GSIM form a useful framework for
industrializing statistics production
• DDI and SDMX are necessary to realize the overall
visions of HLG-BAS
• This bigger picture view should foster a continued
evolution in the standards
• As with any framework or standard, the results are
only as good as the inputs; sound metadata
management is key
Metadata Technology North America 200 Prosperity Dr., Knoxville, TN 37923 USA +1 (877) DDI – SDMX www.mtna.us