The importance of metadata in the use of administrative sources Workshop on statistical metadata...
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Transcript of The importance of metadata in the use of administrative sources Workshop on statistical metadata...
The importance of metadata in
the use of administrative
sources
Workshop on statistical metadata (4-6 July Vienna)
An Taelemans & Mieke Booghmans
Outline of the presentation
I. Datawarehouse Labour Market & Social Protection
II. SettingIII. Development of metadata
strategyIV. Benefits of metadataV. Conclusion
I. 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
I. Datawarehouse LM & SP
• Derived variables
• Socio-economic position
1. Employed
2. Jobseeker
3. Professionally inactive
4. Other
Outline of the presentation
I. Datawarehouse Labour Market & Social Protection
II. SettingIII. Development of metadata
strategyIV. Benefits of metadataV. Conclusion
II. 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)
II. Setting
• Problems of fragmented, inconsistent and insufficient metadata
• Create comprehensive and high quality metadata
• Three movements:- descriptive task- analysing task- task of evaluation
Outline of the presentation
I. Datawarehouse Labour Market & Social Protection
II. SettingIII. Development of metadata
strategyIV. Benefits of metadataV. Conclusion
III. Development
• Why are metadata important?
• What do we expect of these metadata?
• How should metadata be collected and stored?
Why?
• Administrative data were not originally compiled for statistical purposes
• Interpretability
• Data quality
• Harmonisation and comparability
What?
• Flexible
• Comprehensive and consistent
• Up-to-date
• Accessible
How?
• Need for efficient navigation and search
• Benchmarking exercise
• Variable centred metadata model
How?
DWH GENERAL
VARIABLES
CLASSIFICATIONSDATASETS
How?Metadata items variables
Name Removal date
Abbreviation Schaansc
Theme Self-employment
Definition/description The date on which the association of a self-employed with the National Institute for the Social Security of the Self-Employed is ended.
Derived variable? No
Source (+ link to metadata dataset) National Institute for the Social Security of the Self-Employed (NISSE)
Validity 1997-now
Measuring level (+ link to codelist) Ordinal (dd.mm.yy)
Specifications/remarks The deletion date is not always registered on time. As a consequence a number of persons are wrongly registered as self employed. Yearly this affects
15 000 persons, or 2% of the total population of self-employed.
Date last update 8.12.2006
Outline of the presentation
I. Datawarehouse Labour Market & Social Protection
II. SettingIII. Development of metadata
strategyIV. Benefits of metadataV. Conclusion
IV. Benefits of metadata
• Average daily wage: complex and country specific
• Removal date: interpretation problems
• Job mobility: derived variable
Outline of the presentation
I. Datawarehouse Labour Market & Social Protection
II. SettingIII. Development of metadata
strategyIV. Benefits of metadataV. Conclusion
V. 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