the importance of metadata in the use of administrative sources workshop on statistical metadata...
TRANSCRIPT
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
