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Metadata Standards and Official Statistics. Presentation by: Jack Gager [email protected] Metadata Technology, North America. Overview. Why Standardize Standards Overview Our Experiences The Future of the Standards Summary. Why Standardize?.

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metadata standards and official statistics
Metadata Standards and Official Statistics

Presentation by:

Jack Gager

[email protected]

Metadata Technology, North America

overview
Overview
  • Why Standardize
  • Standards Overview
  • Our Experiences
  • The Future of the Standards
  • Summary
why standardize
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

hlg bas strategy
HLG-BAS Strategy
  • Building knowledge based on international standards
    • GSBPM for business concepts
    • GSIM for information concepts
  • Outline a plug-and-play architecture
slide5
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
slide7
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
gsbpm
GSBPM

DDI

SDMX

DDI

slide9
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
our experience
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
future of the standards
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
summary
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
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