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The importance of metadata in the use of administrative sources

Learn about the importance of metadata in utilizing administrative sources and its role in the Datawarehouse for Labour Market & Social Protection. Discover the benefits, strategies, and outcomes associated with comprehensive metadata development.

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The importance of metadata in the use of administrative sources

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  1. The importance of metadata in the use of administrative sources Workshop on statistical metadata (4-6 July Vienna) An Taelemans & Mieke Booghmans

  2. Outline of the presentation • Datawarehouse Labour Market & Social Protection • Setting • Development of metadata strategy • Benefits of metadata • Conclusion

  3. Datawarehouse LM & SP • Collect and store administrative data of social security institutions • Population and coverage rate • Advantages: - Cost - Wide-ranging and detailled statistics - Linking administrative data

  4. Datawarehouse LM & SP • Derived variables • Socio-economic position • Employed • Jobseeker • Professionally inactive • Other

  5. Outline of the presentation • Datawarehouse Labour Market & Social Protection • Setting • Development of metadata strategy • Benefits of metadata • Conclusion

  6. Setting • Agora research project (Belgian Science Policy) • Under the authority of Federal Public Service Social Security and Crossroads Bank for Social Security • Carried out by Centre for Sociological Research and Policy Research Centre Work and Social Economy (K.U. Leuven)

  7. Setting • Problems of fragmented, inconsistent and insufficient metadata • Create comprehensive and high quality metadata • Three movements: - descriptive task - analysing task - task of evaluation

  8. Outline of the presentation • Datawarehouse Labour Market & Social Protection • Setting • Development of metadata strategy • Benefits of metadata • Conclusion

  9. Development • Why are metadata important? • What do we expect of these metadata? • How should metadata be collected and stored?

  10. Why? • Administrative data were not originally compiled for statistical purposes • Interpretability • Data quality • Harmonisation and comparability

  11. What? • Flexible • Comprehensive and consistent • Up-to-date • Accessible

  12. How? • Need for efficient navigation and search • Benchmarking exercise • Variable centred metadata model

  13. DWH GENERAL VARIABLES DATASETS CLASSIFICATIONS How?

  14. How?

  15. Outline of the presentation • Datawarehouse Labour Market & Social Protection • Setting • Development of metadata strategy • Benefits of metadata • Conclusion

  16. Benefits of metadata • Average daily wage: complex and country specific • Removal date: interpretation problems • Job mobility: derived variable

  17. Outline of the presentation • Datawarehouse Labour Market & Social Protection • Setting • Development of metadata strategy • Benefits of metadata • Conclusion

  18. Conclusion • Metadata are indispensable for correct use and interpretation of administrative data • But: they cannot ensure that administrative data are correctly used and interpreted • Extensive (inter)national cooperation and exchange of best practises

  19. Further information? • An Taelemans an.taelemans@soc.kuleuven.be • Mieke Booghmans mieke.booghmans@econ.kuleuven.be

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