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Metadata Standards and Official Statistics

Metadata Standards and Official Statistics. Presentation by: Jack Gager j.gager@metadatatechnology.com 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

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  1. Metadata Standards and Official Statistics Presentation by: Jack Gager j.gager@metadatatechnology.com Metadata Technology, North America
  2. Overview Why Standardize Standards Overview Our Experiences The Future of the Standards Summary
  3. 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
  4. HLG-BAS Strategy Building knowledge based on international standards GSBPM for business concepts GSIM for information concepts Outline a plug-and-play architecture
  5. 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
  6. DDI Lifecycle
  7. 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
  8. GSBPM DDI SDMX DDI
  9. 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
  10. 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
  11. 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
  12. 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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