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DEALING WITH METADATA . IN ILOSTAT

DEALING WITH METADATA . IN ILOSTAT. ILO Department of Statistics. Edgardo Greising greising@ilo.org. DEALING WITH METADATA(s) IN ILOSTAT. ILO Department of Statistics. Edgardo Greising greising@ilo.org. Agenda. Introduction ILOSTAT and GSBPM Types of Metadata

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DEALING WITH METADATA . IN ILOSTAT

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  1. DEALING WITH METADATA .IN ILOSTAT ILO Department of Statistics Edgardo Greising greising@ilo.org

  2. DEALING WITH METADATA(s) IN ILOSTAT ILO Department of Statistics Edgardo Greising greising@ilo.org

  3. Agenda • Introduction • ILOSTAT and GSBPM • Types of Metadata • ILOSTAT Metadata • Summary

  4. Introduction • ILOSTAT, new Statistical Information System • New data collection approach • New application • Standards based • Metadata driven

  5. ILOSTAT and GSBPM • ILOSTAT modules • Data collection • Data cleaning process • Data dissemination • Workflow control • Metadata

  6. ILOSTAT and GSBPM • GSBPM phases • 1. Specify needs • 2. Design • 3. Build • 4. Collect • 5. Process • 6. Analyse • 7. Disseminate • 8. Archive • 9. Evaluate • Overarching processes: • Quality management • Metadata management • …

  7. ILOSTAT and GSBPM • ILOSTAT Compliance

  8. Types of Metadata • Metadata classification

  9. ILOSTAT Metadata • Technical metadata • System’s parameters • Govern automatic updates and scheduled batch processes • Data Collection • Structural validation of data collection instruments • User Access Control • Roles, credentials, access rights, etc. • Process • Consistency rules • Formulas for calculated indicators • Dissemination website • Context information: language, country, subject

  10. ILOSTAT Metadata • Process metadata • ILOSTAT’s workflow • Information used by: • Country Specialists: to manage data collection activities • Supervisors: to have real time information about the amount and quality of the data compiled • Applications: to drive the data workflow

  11. ILOSTAT Metadata • Structural metadata Business Structural metadata • The “heart” of the metadata driven system. • code lists for all the concepts in use • definition of all the artefacts used for • data collection: questionnaires, DSD’s, etc. • Dissemination: tables, charts, navigation menus, etc. • Stored in a single metadata repository • Shared by all the modules • Single point of maintenance

  12. ILOSTAT Metadata • Statistical metacontent Business  Reference metadata  Descriptive metadata Statistical metacontent • Typical “data about data”. • Two classes of metacontent: • Observation value status: sometimes called flag • Notes: controlled vocabulary, coded at collection time • Cleaning module • Checking for mandatory and contradictory notes • Dissemination module • Table metadata, flags and footnotes • Consolidation of footnotes at display time

  13. Labeled stuff Unlabeled stuff The bean example is taken from: A Manager’s Introduction to Adobe eXtensible Metadata Platform, http://www.adobe.com/products/xmp/pdfs/whitepaper.pdf Why is this metadata relevant?

  14. ILOSTAT Metadata • Statistical metacontent Business  Reference metadata  Descriptive metadata Statistical metacontent • Typical “data about data”. • Two classes of metacontent: • Observation value status: sometimes called flag • Notes: controlled vocabulary, coded at collection time • Cleaning module • Checking for mandatory and contradictory notes • Dissemination module • Table metadata, flags and footnotes • Consolidation of footnotes at display time

  15. ILOSTAT Metadata • Methodological metadata Business  Reference metadata  Descriptive metadata Methodological metadata • Methodology used for primary data collection and processing • “Source & Methods” • connected to the series by the “survey” key • collects and disseminates the information in DDI 2.x

  16. ILOSTAT Metadata • Quality metadata Business  Reference metadata  Descriptive metadata Quality metadata • Stored in the Workflow tables • Provides information about the quality of the data • Ex.: After consistency checking data status can be “Error”, “Ready for dissemination” or “Ready by allowance”. • Additional quality related information attached as comments

  17. ILOSTAT Metadata • External resources Business  Reference metadata External resources • Artefacts and documents related to the studies • Questionnaires • Methodological guidelines • Maps • Full study metadata in DDI and microdata files will be available from the ILO Central MicrodataRepository

  18. Summary

  19. Questions? E-mail:greising@ilo.org Skype:egreising Twitter: egreising LinkedIn: http://www.linkedin.com/in/egreising

  20. Thank you! E-mail:greising@ilo.org Skype:egreising Twitter: egreising LinkedIn: http://www.linkedin.com/in/egreising

  21. Application development • Knowing how it goes. Qtable (country + indic + survey) E-mail (country + user)

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